Empirical feedback information processing method and device, equipment and medium

Abstract

The invention discloses an experience feedback information processing method and device, equipment and a medium. According to the experience feedback information processing method, feedback experience is obtained from an engineering project, and human factor engineering experience feedback information and a preset related project problem set are subjected to keyword screening and secondary screening to obtain target experience feedback information; the method comprises the following steps: acquiring target experience feedback information, performing application field classification on the target experience feedback information, executing different information guidance processing tasks according to different classifications, performing human factor event classification, performing summary statistics on the generation process of the experience feedback information of each stage generated in the whole acquisition, screening, classification and execution process, and establishing an experience feedback data board. By means of the method, the nuclear power plant experience feedback system can effectively support human factor engineering design, and monitoring of the processing process of human factor engineering experience feedback is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of human factors engineering design, and in particular to an experience feedback information processing method, device, equipment and medium. Background Art

[0002] Nuclear power plants are complex large-scale projects. During the construction and commercial operation of nuclear power plants, a large amount of experience feedback will be found. The construction party should collect, analyze and implement these experience feedbacks in order to learn lessons from the incidents and prevent similar incidents from happening again. The effective use of experience feedback data can improve the quality of project construction and the safe and stable operation of power plants.

[0003] The existing experience feedback system analyzes and implements relevant experience feedback, but the existing experience feedback system mainly considers various design disciplines and does not consider human factors engineering separately. The information in the existing experience feedback system mainly includes projects, codes, titles, systems, plants, equipment, sources, occurrence stages, event descriptions, cause analysis, etc. It is impossible to effectively retrieve experience feedback related to human factors engineering, nor can it export experience feedback related to human factors engineering. The analysis and processing process of experience feedback does not take human factors engineering into consideration enough, lacks experience feedback classification based on human factors engineering, and cannot effectively support human factors engineering design. Summary of the invention

[0004] The embodiments of the present invention provide an experience feedback information processing method, device, equipment and medium, aiming to solve the problem that the experience feedback system of a nuclear power plant under the prior art cannot effectively support human factors engineering design.

[0005] In a first aspect, an embodiment of the present invention provides an experience feedback information processing method, characterized in that it includes: obtaining experience feedback information in an engineering project, and aggregating the experience feedback information into an information source library; establishing a human factors engineering experience feedback keyword library in the nuclear power plant field, and preliminarily screening the human factors engineering experience feedback information in the information source library through keyword retrieval in the feedback keyword library to obtain primary screening experience feedback information; secondary screening the primary screening experience feedback information through preset evaluation conditions, and obtaining target experience feedback information by comparing the human factors engineering experience feedback information after the secondary screening with a preset set of related project problems; classifying the target experience feedback information by application field; performing different information guidance processing tasks on the target experience feedback information according to different application field classifications to obtain experience feedback guidance information; classifying the experience feedback guidance information by human factors events based on human factors engineering related theories; summarizing and statistically analyzing the acquisition and classification processes of the primary screening experience feedback information, the target experience feedback information, and the experience feedback guidance information, and establishing an experience feedback data dashboard accordingly.

[0006] In a second aspect, an experience feedback information processing device is provided, characterized in that it comprises a unit for executing the experience feedback information processing method as described above.

[0007] In a third aspect, an embodiment of the present invention further provides a computer device, comprising a memory and a processor connected to the memory; the memory is used to store a computer program; the processor is used to run the computer program stored in the memory to execute the steps of the above-mentioned experience feedback information processing method.

[0008] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the steps of the above-mentioned experience feedback information processing method can be implemented.

[0009] Compared with the prior art, the present invention has the following beneficial effects:

[0010] In the technical solution of the present invention, feedback experience is obtained from engineering projects, and the human factors engineering experience feedback information and the preset related project problem set are completed through keyword screening and secondary screening to obtain the target experience feedback information, and the target experience feedback information is classified by application field and different information guidance processing tasks are performed according to different classifications, and then the human factors events are classified, and the generation process of the experience feedback information generated in each stage during the entire acquisition, screening, classification and execution process is summarized and counted, and an experience feedback data dashboard is established. This method can enable the nuclear power plant experience feedback system to effectively support human factors engineering design, and facilitate the monitoring of the processing process of human factors engineering experience feedback. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0012] Figure 1 A flow chart of the experience feedback information processing method provided by the present invention;

[0013] Figure 2 A first sub-flow chart of the experience feedback information processing method provided by the present invention;

[0014] Figure 3 A second sub-flow chart of the experience feedback information processing method provided by the present invention;

[0015] Figure 4A third sub-flow chart of the experience feedback information processing method provided by the present invention;

[0016] Figure 5 A fourth sub-flow chart of the experience feedback information processing method provided by the present invention;

[0017] Figure 6 A fifth sub-flow chart of the experience feedback information processing method provided by the present invention;

[0018] Figure 7 A schematic block diagram of units of the experience feedback information processing device provided by the present invention;

[0019] Figure 8 A schematic block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0022] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, the singular forms "a", "an" and "the" are intended to include plural forms unless the context clearly indicates otherwise.

[0023] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0024] In order to solve the problem that the experience feedback system of a nuclear power plant under the prior art cannot effectively support human factors engineering design, the embodiment of the present invention refers to Figure 1 , provides an experience feedback information processing method, which includes:

[0025] S110, obtaining experience feedback information from the engineering project, and summarizing the experience feedback information into an information source library;

[0026] The so-called experience feedback information in engineering projects includes user feedback, engineering practice, various event feedback and industry feedback in nuclear power plant engineering projects. The so-called user feedback can be collected through design return visits, surveys, and various interface channels. The feedback method can be online or offline. The online feedback can be directly entered into the nuclear power plant experience feedback system. The offline feedback results can be digitally converted into text and pictures through manual or visual recognition equipment through visual recognition technology and then entered into the system. The so-called engineering practice includes experience feedback in the design and construction phase of the project. These experience feedbacks are generated as the project timeline advances, and they are highly phased and unique. The so-called event feedback includes major events that occurred during the construction process and operating events during the operation of the power plant. The so-called industry feedback is obtained through external channels, such as experience feedback from peer units such as NNSA, supervision stations, and energy bureaus. The collected feedback information is classified and sorted, and summarized into an experience feedback information source library. The library includes information of different categories. The feedback information is stored in a structured manner to facilitate subsequent retrieval and analysis.

[0027] In nuclear power plant engineering projects, in order to more conveniently obtain experience feedback information from the project, an online feedback platform can be set up, where operators, technicians and managers can submit their problems and suggestions encountered in equipment operation, system maintenance and project implementation in real time. Through regular training and meetings, employees are encouraged to actively provide feedback to ensure that all kinds of experience information are recorded in a timely manner.

[0028] In one embodiment, referring to Figure 2 The step of obtaining the experience feedback information in the engineering project and aggregating the experience feedback information into an information source library includes:

[0029] S111. Establish an online feedback platform to obtain user feedback information when using nuclear power plant equipment and systems;

[0030] S112. Establish an online project record system to obtain feedback information on engineering practices during the design and construction process;

[0031] S113. Establish an online emergency event reporting system to obtain feedback information on emergency operation events;

[0032] S114. Establish an industry feedback system to obtain industry feedback information shared by external channels or peer units;

[0033] S115, summarizing the user usage feedback information, the engineering practice feedback information, the operation event feedback information and the industry feedback information to establish an information source library.

[0034] Establish an online user-oriented feedback platform to collect user feedback information when using nuclear power plant equipment and systems. The online feedback platform obtains problems, suggestions and improvement opinions in real time during the use of equipment through user interfaces, feedback forms, online surveys, etc. User feedback information may include but is not limited to equipment failures, operating difficulties, equipment interface problems, alarm system reactions, etc., to help understand design defects or operating difficulties that may occur during daily use. Establish an online project recording system to obtain engineering practice feedback information that occurs during the design and construction of nuclear power plants. The system records and tracks feedback from various stages of engineering projects, including design, construction, and commissioning. Engineering practice feedback information may include unreasonable designs, difficulties encountered during construction, facility layout optimization suggestions, equipment selection issues, etc. These feedbacks are of great significance for future project design and construction. Establish an emergency event reporting system to collect and manage emergency operation event feedback information, wherein the emergency operation event feedback information includes operation event feedback information reported by the nuclear power plant management system after a safety incident, failure or near-miss accident occurs. The system is supported by the nuclear power plant management system. When a safety incident, failure or near miss occurs, relevant information is reported and recorded in a timely manner. Emergency event feedback information includes event description, event cause analysis, emergency response effect, etc. The system automatically records key data in each emergency response process, such as response time, equipment involved, personnel operation, etc., to help subsequent analysis and improvement of emergency plans. Establish an industry feedback system to collect industry feedback information shared by external channels or peer units. This system broadens the source of information and understands the experiences and lessons of other nuclear power plants in the industry by regularly obtaining information sharing from external institutions such as the Nuclear Energy Industry Association, the National Nuclear Safety Administration, various supervision stations, and the Energy Bureau. Industry feedback information includes safety accident analysis, technical improvement suggestions, and industry standard updates from peer units. This information is of great reference value for the challenges that nuclear power plants may encounter during implementation.

[0035] Aggregate the information from the above four systems, namely the online feedback platform, online project record system, online emergency incident reporting system, and industry feedback system, into a unified information source library. The information source library should have a unified format and be able to effectively classify, label, and index feedback information from different sources. After aggregating the information, the system can perform data cleaning, deduplication, and structured processing according to different feedback types to ensure the accuracy, completeness, and availability of the information. The aggregated data will be used for subsequent feedback analysis, screening, and classification processing.

[0036] Through the method steps of this embodiment, various experience feedback information of nuclear power plants can be comprehensively collected and summarized into an information source library. This information source library can not only cover user feedback in daily operation and practical feedback in the engineering design stage, but also effectively collect relevant feedback from emergency events and industries, providing sufficient data support for subsequent human factors engineering analysis.

[0037] S120, establishing a keyword library for human factors engineering experience feedback in the field of nuclear power plants, and preliminarily screening the human factors engineering experience feedback information in the information source library by searching keywords in the feedback keyword library to obtain preliminary screening experience feedback information;

[0038] In the field of nuclear power plants, a human factors engineering experience feedback keyword library is established based on the field knowledge related to human factors engineering. The library includes various keywords that affect the safety and operating efficiency of nuclear power plants, mainly including but not limited to: human-machine interface, workspace, environment, procedures, alarms, screens, function allocation, task analysis, situational awareness, human errors, etc. These keywords represent important factors related to human factors engineering, helping to quickly lock in potential problem areas when screening experience feedback. Through the established feedback keyword library, keyword retrieval technology is used to perform a preliminary screening of all experience feedback in the information source library. This screening process is automated and can quickly extract relevant content that may be involved based on keywords. After the initial screening, the preliminary screened experience feedback information is obtained. This information can be matched with keywords to effectively reduce the workload of subsequent manual expert judgment.

[0039] In one embodiment, referring to Figure 3 The steps of establishing a keyword library for human factors engineering experience feedback in the field of nuclear power plants include:

[0040] S121. Use text mining tools to count the frequency of words and extract important terms from nuclear power plant engineering documents, nuclear power plant management documents, and nuclear power plant design documents to obtain key concept vocabulary;

[0041] S122. Using knowledge and experience in the field of human factors engineering, select key human factors engineering terms in the field of nuclear power plants;

[0042] S123, integrating the key concept vocabulary and the key vocabulary of human factors engineering in the field of nuclear power plants as keywords to obtain a keyword library of human factors engineering experience feedback in the field of nuclear power plants.

[0043] The frequency statistics and important term extraction of nuclear power plant engineering documents, nuclear power plant management documents, and nuclear power plant design documents are performed through text mining tools. Text mining tools, such as natural language processing toolkits NLTK and SpaCy, are used to conduct in-depth analysis of nuclear power plant-related engineering documents, management documents, design documents, etc. Through word frequency statistics, the terms, concepts, and keywords that frequently appear in the documents are mined. For example, when analyzing the design documents of nuclear power plants, key terms related to equipment layout, operating procedures, monitoring systems, etc. may be extracted, such as "human-machine interface", "safety control system", "equipment operation", etc. These high-frequency terms and concepts provide basic data for building an experience feedback keyword library.

[0044] Based on the high-frequency terms in nuclear power plant engineering documents and specific applications in related documents, combined with professional knowledge and experience in the field of human factors engineering, the key human factors engineering words in the field of nuclear power plants are screened out. For example, in the design and operation of nuclear power plants, common human factors engineering keywords may include: human-machine interface (HMI), operator task allocation, workspace layout, environmental factors (noise, temperature and humidity, lighting), task load, situational cognition, automation and manual dependence, procedure design and compliance, and types of human errors (omissions, misoperation, etc.). These human factors engineering key words are extracted from engineering practice, design requirements and operation feedback, which can effectively help the subsequent experience feedback screening and analysis.

[0045] Integrate key concept words and key words of human factors engineering in the field of nuclear power plants, integrate key concept words extracted by text mining tools with key words of human factors engineering selected through human factors engineering field experience, and form a complete keyword library of human factors engineering experience feedback in the field of nuclear power plants. The integration method of the keyword library includes: de-duplication of all keywords to ensure that each keyword appears only once.

[0046] Categorize highly relevant keywords, such as environment-related keywords (noise, temperature and humidity, lighting, etc.) into one category, and human operation-related keywords (task allocation, errors, operation interface, etc.) into another category. Add a description or definition to each keyword to ensure that the meaning and application scenarios of each keyword can be clearly understood in subsequent experience feedback analysis.

[0047] For example, the keyword library of human factors engineering experience feedback in the field of nuclear power plants may include the following categories:

[0048]

[0049] Through the method steps of this embodiment, a keyword library of human factors engineering experience feedback for the nuclear power plant field can be effectively constructed, so as to accurately extract key concepts and terms related to human factors engineering from various documents and feedback of nuclear power plants, reduce the workload of manual screening, and quickly locate potential human factors engineering problems.

[0050] Further, refer to Figure 3 The step of preliminarily screening the human factors engineering experience feedback information in the information source library by searching the keywords in the feedback keyword library to obtain the preliminarily screened experience feedback information includes:

[0051] S124, searching keywords by text retrieval using the pre-built keyword library of the human factors engineering experience feedback in the field of nuclear power plants;

[0052] S125. If a word in the keyword library appears in the feedback, it is marked as human factors engineering experience feedback information.

[0053] Based on the constructed human factors engineering experience feedback keyword library, text retrieval technology is used to automatically and preliminarily screen the experience feedback in the information source library. Text retrieval tools such as Lucene and Elasticsearch are used to search for words in the keyword library in the experience feedback information through keyword matching. The specific steps include: segmenting the collected experience feedback information and removing stop words and irrelevant sentences; using Boolean retrieval algorithms or vector space models and other methods to find out whether all experience feedback data contains words in the keyword library; marking the matched feedback information, and if the feedback information contains human factors engineering keywords, it is marked as human factors engineering experience feedback information. According to the search results, the experience feedback information that matches the keywords is marked as human factors engineering experience feedback information.

[0054] S130, performing a secondary screening on the primary screening experience feedback information through a preset evaluation condition, and combining the human factors engineering experience feedback information after the secondary screening with a preset set of related project questions to obtain target experience feedback information;

[0055] After the initial screening, the feedback information from the experience is screened for the second time. The second screening is mainly carried out through preset evaluation conditions, and a more detailed analysis will be achieved through the software. During the second screening, irrelevant or repeated feedback information can be further eliminated through expert judgment or screening criteria based on specific rules, and finally feedback information with high value to human factors engineering is retained. Furthermore, for feedback information with strong controversy, it is also possible to organize online or offline interdisciplinary expert groups to hold regular meetings to review the feedback from the initial screening to ensure that professional opinions in various fields are fully considered. For example, based on their experience and knowledge, experts evaluate the actual impact of a certain feedback and decide which issues need further analysis. After the expert review, it is confirmed that "unreasonable design of the operating interface" and "information overload of the alarm system" are the core problems that lead to operational errors, and it is recommended to optimize the interface and alarm system.

[0056] The experience feedback information after the secondary screening is combined with the preset related project problem set, so that the experience feedback information can be associated with specific problems in the actual project, and the target experience feedback information is obtained. The target experience feedback information here will become the core content of the subsequent classification and processing, and has higher practical application value.

[0057] S140, classifying the target experience feedback information by application field;

[0058] Classify the target experience feedback information by application field. According to different actual application scenarios or behavioral logic relationships, each category of experience feedback will involve different processing strategies and methods to help solve specific problems in the project in a targeted manner.

[0059] In one embodiment, referring to Figure 4 The ergonomics classification standard includes a technical category I classification, a technical category II classification, and a management category classification. The step of classifying the target experience feedback information by application field includes:

[0060] S141. If the target experience feedback information contains relevant information on function analysis and classification, task analysis, important personnel action processing, and human factors engineering verification, it is classified into the first category of technology;

[0061] S142, if it is determined that the target experience feedback information contains relevant information about the panel, alarm, screen, procedure, layout, environment, control equipment, and display equipment, it is classified into the second technical category;

[0062] S143. If it is determined that the target experience feedback information contains information related to staffing, training, and management procedures, it is classified into the management category.

[0063] In the embodiment of the present invention, the target experience feedback information is divided into technical category 1, technical category 2 and management category according to its content. As shown in the following table example:

[0064]

[0065] Determine whether the target experience feedback information contains content related to function analysis and classification, task analysis, important personnel action processing or human factors engineering verification. If relevant information is included, it is classified as technology category 1. For example, if the feedback content involves personnel task analysis in a nuclear power plant project, or describes the impact of task load on operators, it can be classified as technology category 1. Determine whether the target experience feedback information involves content such as panel, alarm system, screen display, equipment layout, environmental control equipment, etc. If such information is included, it is classified as technology category 2. For example, if the feedback information mentions operator misoperation caused by unreasonable equipment layout, or mentions the impact of control equipment defects on operation, it can be classified as technology category 2. Determine whether the target experience feedback information contains content related to human factors engineering management such as personnel allocation, training plan, and management procedures. If such content is included, it is classified as management category. For example, if the feedback mentions operational problems caused by insufficient personnel allocation or improper training in a nuclear power plant project, it can be classified as management category.

[0066] S150, performing different information guidance processing tasks on the target experience feedback information according to different application field classifications to obtain experience feedback guidance information;

[0067] According to the results of the application field classification, different information guidance processing tasks are performed for each type of target experience feedback information. For example, for experience feedback involving operating procedures, improvement suggestions will be generated; for feedback involving personnel errors, training or adjustment of task allocation will be recommended; for feedback on interface design improvement, the design team will be organized to review the interface; for feedback on operation process optimization, relevant training will be arranged and the operation manual will be revised. Each type of experience feedback information generates corresponding processing measures based on its characteristics and impact, forming experience feedback guidance information.

[0068] In one embodiment, referring to Figure 5 The step of performing different information guidance processing tasks on the target experience feedback information according to different application field classifications to obtain the experience feedback guidance information includes:

[0069] S151, analyzing and processing the classified target experience feedback information to generate improvement suggestions and improvement tasks;

[0070] S152, implement the target experience feedback information classified in the technology category in the relevant human factors engineering analysis process;

[0071] S153, implement the target experience feedback information of the second category of technology classification in the human-machine interface related design process;

[0072] S154. Implement the target experience feedback information of management categories in the process of staffing, training planning, and management procedure compilation.

[0073] When analyzing the classified target experience feedback information, improvement suggestions and improvement tasks will be generated in combination with human factors engineering related theories to guide subsequent design, operation and management work. For the feedback information classified in the first category of technology, it will first be incorporated into the human factors engineering analysis process for task implementation. In the human factors engineering analysis process, the focus is on the effectiveness of task execution and the optimization of operator actions, such as improving work task allocation, reducing operator errors, and optimizing task load. For the feedback information classified in the second category of technology, the focus is on the design process related to the human-machine interface for task implementation. For example, according to the optimization of equipment layout, environmental design and operating interface in the feedback information, the design of the panel, alarm system, and control equipment is adjusted to improve the interaction between operators and equipment and reduce misoperation caused by improper environment or equipment design. For the feedback information classified in the management category, it will be applied to management tasks such as personnel allocation, training planning, and management procedure compilation for task implementation. For example, according to the information such as insufficient personnel allocation and training needs in the feedback, a more reasonable personnel allocation plan is formulated, the training content is optimized, and the management process is improved to ensure that nuclear power plant operators have sufficient skills and coping capabilities. Finally, experience feedback guidance information is obtained.

[0074] In the embodiment of the present invention, the improvement tasks of the experience feedback information of the technical type 1 objective include optimizing the task process, adjusting the personnel role allocation, and improving the human-computer interaction during the operation process. The improvement tasks of the experience feedback information of the technical type 2 objective include optimizing the equipment layout, adjusting the design of the alarm system and the display interface, and improving the convenience and safety of the operator's operation. The improvement tasks of the experience feedback information of the management type objective include optimizing the personnel training content, improving the management process, and improving the rationality of personnel allocation.

[0075] S160, classifying the experience feedback guidance information into human factors events based on human factors engineering related theories;

[0076] The experience feedback guidance information is further classified into human factors events. Based on relevant theoretical models of human factors engineering, such as PSA event classification, personnel task type classification, personnel error type classification, etc., the feedback information is refined and classified to enhance its targetedness.

[0077] In one embodiment, referring to Figure 6The classification standard based on human factors engineering related theories includes PSA event classification, personnel task type classification, personnel error type classification, and personnel behavior type classification. The step of classifying human factors events based on the experience feedback guidance information based on human factors engineering related theories includes:

[0078] S161. If it is determined that the experience feedback guidance information contains events before the initiating event, events leading to the initiating event, and events after the initiating event, then the event is classified into PSA event classification;

[0079] S162. If the experience feedback guidance information contains relevant information of skill type, rule type and knowledge type, it is classified into personnel task type;

[0080] S163. If there are omissions, negligence, errors, or violations in the experience feedback guidance information, it is classified into the type of personnel error;

[0081] S164. If the experience feedback guidance information contains detection, cognition, decision-making, and action, it is classified into personnel behavior type classification.

[0082] In this embodiment, based on the relevant theories of human factors engineering, the experience feedback guidance information is classified into human factors events, and the specific classification standards include the following categories: PSA event classification, which is divided into events before the initiating event, events leading to the initiating event, and events after the initiating event according to the event types involved in the experience feedback; personnel task type classification, which is divided into skill-based, rule-based, and knowledge-based according to the task types involved in the experience feedback; personnel error type classification, which is divided into omissions, negligence, mistakes, and violations according to the error types mentioned in the feedback information; personnel behavior type classification: according to the behaviors involved in the feedback information, it is divided into detection, cognition, decision-making, and action.

[0083] For the experience feedback guidance information of PSA event classification, the time and event type in the experience feedback guidance information are analyzed: if the feedback information mentions the warning or preparation work before the event, it is classified as an "event before the initiating event"; if the information involves the cause of the event, such as operating errors, equipment failures, etc., it is classified as an "event leading to the initiating event"; if the information describes the emergency treatment or recovery measures after the event, it is classified as an "event after the initiating event".

[0084] For the experience feedback guidance information on the classification of personnel task types, the task types mentioned in the experience feedback guidance information are classified as follows: if the personnel rely on existing skills to perform tasks, such as routine operations, manual control, etc., they are classified as "skill-based"; if the personnel need to follow standard operating procedures to perform tasks, such as emergency plan execution, process control, etc., they are classified as "rule-based"; tasks that rely on specific knowledge and judgment to perform operations, such as fault diagnosis, problem solving, etc., are classified as "knowledge-based".

[0085] The classification of human error types should be based on the error types mentioned in the feedback information: omission refers to the failure of personnel to perform the tasks or steps that should be performed; negligence refers to the incomplete execution of tasks or errors due to lack of care or inattention; error refers to the failure of personnel during task execution due to errors in judgment or operation; violation refers to the failure of personnel to perform tasks according to the prescribed process or standards, and the violation of safety or operating procedures.

[0086] For the classification of personnel behavior types, it is necessary to classify them according to the personnel behaviors involved in the experience feedback: detection refers to the inspection and monitoring activities performed by the operator during the execution of the task; cognition refers to the cognitive judgments that the operator relies on in the decision-making process, such as the understanding and judgment of information; decision-making refers to the decision choices made by the operator when facing a problem, such as the choice of a fault handling plan; action refers to the specific actions taken by the operator after making a decision, such as operating equipment, adjusting settings, etc.

[0087] S170, summarizing and statistically analyzing the acquisition and classification process of the initial screening experience feedback information, the target experience feedback information, and the experience feedback guidance information, and establishing an experience feedback data dashboard accordingly.

[0088] Summarize and count the acquisition, screening, and classification process of all feedback information, and generate a visual experience feedback data dashboard based on the classification, processing progress, current status, and other data of the feedback information. The experience feedback data dashboard not only displays the statistical information of various types of experience feedback, but also displays the processing status, resolution progress, and next steps of the feedback, providing real-time decision support for project managers. Integrate data analysis and data dashboard functions into the experience feedback management system, and support direct extraction of data from the experience feedback library and generation of dashboards.

[0089] In the technical solution of the present invention, feedback experience is obtained from engineering projects, and the target experience feedback information is obtained by keyword screening and secondary screening of human factors engineering experience feedback information and preset related project problem sets, and the target experience feedback information is classified by application field and different information guidance processing tasks are performed according to different classifications, and then human factors events are classified, and the generation process of experience feedback information at each stage generated in the entire acquisition, screening, classification and execution process is summarized and counted, and an experience feedback data dashboard is established. This method can enable the nuclear power plant experience feedback system to effectively support human factors engineering design, and facilitate the monitoring of the processing process of human factors engineering experience feedback. It can also effectively improve the processing efficiency and accuracy of human factors engineering problems in nuclear power plant projects, optimize the design, management and operation processes, and ultimately improve the safety and operation efficiency of nuclear power plants.

[0090] Figure 7 is a schematic block diagram of an experience feedback information processing device 600 provided in an embodiment of the present invention. Figure 7 As shown, corresponding to the above experience feedback information processing method, the present invention also provides an experience feedback information processing device 600. The experience feedback information processing device 600 includes a unit for executing the above experience feedback information processing method, and the device can be configured in a desktop computer, a tablet computer, a smart phone, and other terminals. Specifically, please refer to Figure 7 , the experience feedback information processing device 600 includes:

[0091] Information acquisition unit 601: acquires experience feedback information in the engineering project, and aggregates the experience feedback information into an information source library;

[0092] Information preliminary screening unit 602: establishing a keyword library of human factors engineering experience feedback in the field of nuclear power plants, and performing preliminary screening of human factors engineering experience feedback information in the information source library by keyword retrieval in the feedback keyword library to obtain preliminary screening experience feedback information;

[0093] Information secondary screening unit 603: performing secondary screening on the primary screening experience feedback information through preset evaluation conditions, and combining the secondary screened human factors engineering experience feedback information with preset related project problem sets to obtain target experience feedback information;

[0094] Application classification unit 604: classifying the target experience feedback information into application fields;

[0095] Guidance processing unit 605: performs different information guidance processing tasks on the target experience feedback information according to different application field classifications to obtain experience feedback guidance information;

[0096] Human factor classification unit 606: classifying the experience feedback guidance information into human factor events based on human factor engineering related theories;

[0097] The dashboard generating unit 607 summarizes and statistics the acquisition and classification process of the initial screening experience feedback information, the target experience feedback information, and the experience feedback guidance information, and establishes an experience feedback data dashboard accordingly.

[0098] The above-mentioned experience feedback information processing device 600 can be implemented in the form of a computer program. The computer program can be used in Figure 8 Runs on the computer device shown.

[0099] See also Figure 8 , Figure 8 5 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device 500 may be a terminal or a server, wherein the terminal may be an electronic device with communication functions such as a desktop computer, a tablet computer, a smart phone, etc. The server may be an independent server or a server cluster composed of multiple servers.

[0100] See also Figure 8 The computer device 500 includes a processor 502 , a memory and a network interface 505 connected via a system bus 501 , wherein the memory may include a non-volatile storage medium 503 and an internal memory 504 .

[0101] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions, and when the program instructions are executed, the processor 502 can execute an experience feedback information processing method.

[0102] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500 .

[0103] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute an experience feedback information processing method.

[0104] The network interface 505 is used to communicate with other devices over the network. Those skilled in the art will appreciate that Figure 8 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device 500 to which the solution of the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0105] The processor 502 is used to run a computer program 5032 stored in the memory to implement the steps of the above method.

[0106] It should be understood that in the embodiment of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be 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. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0107] It can be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiment of the above method.

[0108] Therefore, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by a processor, the processor executes the steps of the above method.

[0109] The storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which are computer-readable storage media that can store program codes.

[0110] 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, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. 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 the present invention.

[0111] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0112] The steps in the method of the embodiment of the present invention can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present invention can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0113] 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 storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention.

[0114] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for processing experience feedback information, characterized in that: include: Obtain experience feedback information from engineering projects and summarize the experience feedback information into an information source library; Establishing a keyword library of human factors engineering experience feedback in the field of nuclear power plants, and preliminarily screening the human factors engineering experience feedback information in the information source library by searching keywords in the feedback keyword library to obtain preliminary screening experience feedback information; The primary screening experience feedback information is subjected to secondary screening through preset evaluation conditions, and the human factors engineering experience feedback information after the secondary screening is combined with preset related project questions to obtain target experience feedback information; Classifying the target experience feedback information by application field; Perform different information guidance processing tasks on the target experience feedback information according to different application field classifications to obtain experience feedback guidance information; Based on the relevant theories of human factors engineering, the experience feedback guidance information is classified into human factors events; The acquisition and classification process of the initial screening experience feedback information, the target experience feedback information, and the experience feedback guidance information is summarized and counted, and an experience feedback data dashboard is established accordingly.

2. The method for processing experience feedback information according to claim 1, characterized in that: The step of obtaining the experience feedback information in the engineering project and aggregating the experience feedback information into an information source library comprises: Establish an online feedback platform to obtain user feedback information when using nuclear power plant equipment and systems; Establish an online project record system to obtain feedback on engineering practices during the design and construction process; Establish an online emergency incident reporting system to obtain feedback information on emergency operation incidents; Establish an industry feedback system to obtain industry feedback information shared by external channels or peer units; The user usage feedback information, the engineering practice feedback information, the operation event feedback information and the industry feedback information are aggregated to establish an information source library.

3. The method for processing experience feedback information according to claim 1, characterized in that: The steps of establishing a keyword library for human factors engineering experience feedback in the field of nuclear power plants include: Use text mining tools to count the frequency of words and extract important terms from nuclear power plant engineering documents, nuclear power plant management documents, and nuclear power plant design documents to obtain key concept vocabulary; Through the knowledge and experience in the field of human factors engineering, key words of human factors engineering in the field of nuclear power plants are selected; The key concept vocabulary and the key vocabulary of human factors engineering in the field of nuclear power plants are integrated as keywords to obtain a keyword library of human factors engineering experience feedback in the field of nuclear power plants.

4. The method for processing experience feedback information according to claim 3, characterized in that: The step of preliminarily screening the human factors engineering experience feedback information in the information source library by searching the keywords in the feedback keyword library to obtain the preliminarily screened experience feedback information comprises: Using the pre-built keyword library of human factors engineering experience feedback in the field of nuclear power plants to search for keywords through text retrieval; If a word in the keyword library appears in the feedback, it will be marked as human factors engineering experience feedback information.

5. The method for processing experience feedback information according to claim 1, characterized in that: The human factors engineering classification standard includes a first-class technology classification, a second-class technology classification, and a management classification. The step of classifying the target experience feedback information by application field includes: If the target experience feedback information contains relevant information on function analysis and classification, task analysis, important personnel action processing, and human factors engineering verification, it is classified into the technical category; If the target experience feedback information contains relevant information about the panel, alarm, screen, procedure, layout, environment, control equipment, and display equipment, it is classified into the second technical category; If the target experience feedback information contains information related to staffing, training, and management procedures, it is classified into the management category.

6. The method for processing experience feedback information according to claim 5, characterized in that: The step of performing different information guidance processing tasks on the target experience feedback information according to different application field classifications to obtain the experience feedback guidance information includes: Analyze and process the classified target experience feedback information to generate improvement suggestions and improvement tasks; The target experience feedback information classified into the technology category is used for task implementation in the relevant human factors engineering analysis process; Implement the target experience feedback information of the second-class technology classification into tasks in the design process related to the human-machine interface; The target experience feedback information of management classification is used for task implementation in the process of staffing, training planning and management procedure compilation.

7. The method for processing experience feedback information according to any one of claims 1 to 6, characterized in that: The classification standard based on human factors engineering related theories includes PSA event classification, personnel task type classification, personnel error type classification, and personnel behavior type classification. The step of classifying human factors events based on the experience feedback guidance information based on human factors engineering related theories includes: If the experience feedback guidance information contains events before the initiating event, events leading to the initiating event, and events after the initiating event, it is classified into PSA event classification; If the experience feedback guidance information contains relevant information of skill type, rule type and knowledge type, it is classified into personnel task type; If there are omissions, negligence, errors, or violations in the judgment experience feedback guidance information, it is classified into the type of personnel error; If the experience feedback guidance information contains detection, cognition, decision-making, and action, it is classified into personnel behavior type classification.

8. An experience feedback information processing device, characterized in that: The method comprises a unit for executing the experience feedback information processing method according to any one of claims 1 to 7.

9. A computer device, characterized in that: The computer device comprises a memory and a processor connected to the memory; the memory is used to store a computer program; the processor is used to run the computer program stored in the memory to execute the steps of the method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 can be implemented.

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