Human factor intelligence-based work personnel mental health management method and management system

Abstract

The application relates to the technical field of mental health, in particular to a work personnel mental health management method and management system based on human factor intelligence, wherein the method comprises the following steps: detecting an actual working state of at least one work personnel; in the case that the actual working state is an attendance state, obtaining pre-service mental assessment results and in-service mental assessment results of the at least one work personnel, generating a comprehensive mental state of the at least one work personnel, and generating mental health management suggestions for the at least one work personnel by using the comprehensive mental state. According to the application, corresponding health management schemes can be implemented according to different working states of work personnel, the mental state of work personnel is comprehensively analyzed by using actual data, and mental health management suggestions are proposed, so that the mental health management of work personnel can be accurately realized, the risk avoidance level of production work management is improved, and safety is higher.

Description

Technical Field

[0001] This application relates to the field of mental health technology, and in particular to a method and system for managing the mental health of workers based on human factors intelligence. Background Technology

[0002] Common mental health issues among working professionals include occupational stress, burnout, depression, and anxiety. These can lead to serious health problems such as sleep disorders and cardiovascular diseases. In practice, mental health issues can pose safety hazards in production and daily life, resulting in direct and indirect economic losses. For those in high-risk occupations, mental health is particularly important. In related fields, organizations handling high-risk work can conduct regular psychological questionnaires to assess the mental health status of their employees.

[0003] However, the relevant technologies do not yet include a comprehensive assessment of the psychological data of workers under different working conditions. It is impossible to take corresponding management strategies based on the overall psychological state of workers, and it is difficult to accurately know the mental health status of workers. This results in insufficient risk avoidance and monitoring in production work, affecting the comprehensiveness of safety management in production units, which urgently needs to be addressed. Summary of the Invention

[0004] This application provides a human factors intelligence-based method and system for managing the mental health of workers, in order to solve the problems in related technologies that lack comprehensive assessment of workers' psychological data under different working conditions, make it impossible to take corresponding management strategies based on workers' comprehensive psychological state, make it difficult to accurately know the mental health status of workers, result in insufficient risk avoidance and monitoring in production work, and affect the comprehensiveness of safety management in production units.

[0005] The first aspect of this application provides a method for managing the mental health of workers based on human factors intelligence, comprising the following steps: detecting the actual working status of at least one worker; when the actual working status is detected as an attendance status, obtaining the pre-job psychological assessment results and on-the-job psychological assessment results of the at least one worker; generating a comprehensive psychological state of the at least one worker based on the pre-job psychological assessment results and the on-the-job psychological assessment results, and generating mental health management suggestions for the at least one worker using the comprehensive psychological state.

[0006] Based on the aforementioned technical means, corresponding health management plans can be implemented according to the different working conditions of the workers. By comprehensively analyzing the workers' psychological state using actual data, suggestions for psychological health management can be put forward, thereby accurately realizing the psychological health management of the workers, improving the risk avoidance level of production work management, and enhancing safety.

[0007] For example, before generating mental health management suggestions for the at least one worker using the comprehensive psychological state, the method further includes: determining whether the comprehensive psychological state meets preset adjustment requirements; if the comprehensive psychological state meets the preset adjustment requirements, generating an attendance psychological adjustment training program based on the comprehensive psychological state; and using the attendance psychological adjustment training program to train the workers who meet the preset adjustment requirements until the trained workers meet the preset mental health requirements.

[0008] Based on the above technical means, the embodiments of this application can determine whether the overall psychological state meets the preset adjustment requirements before generating psychological health management suggestions for workers based on their overall psychological state. If it does, an attendance psychological adjustment training program is generated based on the overall psychological state. The attendance psychological adjustment training program is used to train workers, thereby helping them improve their psychological adjustment ability under attendance conditions, ensuring a stable and good psychological state for workers, and further improving their psychological quality.

[0009] For example, the preset mental health requirement is: the psychological adjustment ability of the trained workers reaches the target value.

[0010] Based on the above technical means, the preset psychological health requirement in this application embodiment is that the psychological adjustment ability of the trained workers reaches the target value. The psychological adjustment ability of the workers is evaluated based on a quantitative method to ensure the training effect of psychological adjustment training.

[0011] For example, after detecting the actual working status of the at least one worker, the method further includes: if the actual working status is a work stoppage status, then performing a corresponding psychological assessment on the worker in the work stoppage status to obtain the work stoppage psychological assessment result of the at least one worker; generating a leave-of-absence psychological adjustment training plan based on the leave-of-absence psychological assessment result; and using the leave-of-absence psychological adjustment training plan to train the worker in the work stoppage status until the worker in the work stoppage status meets the preset attendance requirements.

[0012] Based on the above technical means, the embodiments of this application can conduct corresponding psychological assessments on workers whose actual work status is suspended, generate off-duty psychological adjustment training programs based on the results of the suspension psychological assessment, train workers in the suspension status until they meet the preset attendance requirements, thereby providing mental health training programs for workers who leave their posts due to failure to meet the psychological assessment standards, so as to help workers improve their mental health.

[0013] For example, the step of conducting a corresponding psychological assessment on the workers in the suspended state to obtain the suspension psychological assessment result of the at least one worker includes: obtaining the actual suspension situation of the workers in the suspended state; in the case that the actual suspension situation is an abnormal suspension before work, conducting a cognitive ability assessment on the workers in the suspended state to obtain a cognitive ability assessment result as the psychological assessment result; in the case that the actual suspension situation is an abnormal suspension while on duty, conducting a physiological and emotional assessment on the workers in the suspended state to obtain a physiological and emotional assessment result as the psychological assessment result.

[0014] Based on the above technical means, the embodiments of this application can provide different psychological assessments for workers whose actual work stoppage situations are abnormal work stoppage before work and abnormal work stoppage during work, so as to carry out further psychological adjustment training design, and realize diversified and hierarchical psychological health management of workers.

[0015] A second aspect of this application provides a human factors intelligence-based mental health management system for workers, comprising: a detection module for detecting the actual work status of at least one worker; an acquisition module for acquiring pre-job psychological assessment results and on-the-job psychological assessment results of the at least one worker when the actual work status is detected as attendance status; and a management module for generating a comprehensive psychological state of the at least one worker based on the pre-job psychological assessment results and the on-the-job psychological assessment results, and generating mental health management suggestions for the at least one worker using the comprehensive psychological state.

[0016] For example, the management module further includes: a judgment unit, configured to determine whether the comprehensive psychological state meets preset adjustment requirements before generating psychological health management suggestions for the at least one worker using the comprehensive psychological state; a generation unit, configured to generate an attendance psychological adjustment training program based on the comprehensive psychological state if the comprehensive psychological state meets the preset adjustment requirements; and a training unit, configured to train workers who meet the preset adjustment requirements using the attendance psychological adjustment training program until the trained workers meet the preset psychological health requirements.

[0017] Based on the above technical means, the embodiments of this application can determine whether the overall psychological state meets the preset adjustment requirements before generating psychological health management suggestions for workers based on their overall psychological state. If it does, an attendance psychological adjustment training program is generated based on the overall psychological state. The attendance psychological adjustment training program is used to train workers, thereby helping them improve their psychological adjustment ability under attendance conditions, ensuring a stable and good psychological state for workers, and further improving their psychological quality.

[0018] For example, the preset mental health requirement is: the psychological adjustment ability of the trained workers reaches the target value.

[0019] Based on the above technical means, the preset psychological health requirement in this application embodiment is that the psychological adjustment ability of the trained workers reaches the target value. The psychological adjustment ability of the workers is evaluated based on a quantitative method to ensure the training effect of psychological adjustment training.

[0020] For example, the system further includes: an assessment module, configured to, after detecting the actual working status of the at least one worker, if the actual working status is a shutdown status, perform a corresponding psychological assessment on the worker in the shutdown status to obtain the shutdown psychological assessment result of the at least one worker; a generation module, configured to generate a leave-of-absence psychological adjustment training plan based on the shutdown psychological assessment result; and a training module, configured to use the leave-of-absence psychological adjustment training plan to train the worker in the shutdown status until the worker in the shutdown status meets the preset attendance requirements.

[0021] Based on the above technical means, the embodiments of this application can conduct corresponding psychological assessments on workers whose actual work status is suspended, generate off-duty psychological adjustment training programs based on the results of the suspension psychological assessment, train workers in the suspension status until they meet the preset attendance requirements, thereby providing mental health training programs for workers who leave their posts due to failure to meet the psychological assessment standards, so as to help workers improve their mental health.

[0022] For example, the assessment module includes: an acquisition unit, used to acquire the actual work stoppage status of the worker in the work stoppage state; a first assessment unit, used to assess the cognitive ability of the worker in the work stoppage state when the actual work stoppage status is an abnormal work stoppage before work, and obtain a cognitive ability assessment result as the psychological assessment result; and a second assessment unit, used to assess the physiological and emotional status of the worker in the work stoppage state when the actual work stoppage status is an abnormal work stoppage while on duty, and obtain a physiological and emotional assessment result as the psychological assessment result.

[0023] Based on the above technical means, the embodiments of this application can provide different psychological assessments for workers whose actual work stoppage situations are abnormal work stoppage before work and abnormal work stoppage during work, so as to carry out further psychological adjustment training design, and realize diversified and hierarchical psychological health management of workers.

[0024] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the human factors intelligence-based workplace mental health management method as described in the above embodiments.

[0025] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described human factors intelligence-based method for managing the mental health of workers.

[0026] This application's embodiments can implement corresponding health management plans based on different working states of operators, and comprehensively analyze the psychological state of operators using actual data to propose psychological health management suggestions. This allows for precise psychological health management of operators, improving the risk avoidance level of production work management and enhancing safety. Therefore, it solves the problems in related technologies where there is no comprehensive assessment of operators' psychological data under different working states, making it impossible to adopt corresponding management strategies based on the comprehensive psychological state of operators, making it difficult to accurately know the psychological health status of workers, resulting in insufficient risk avoidance monitoring in production work, and affecting the comprehensiveness of safety management in production units.

[0027] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0028] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0029] Figure 1 This is a flowchart illustrating a method for managing the mental health of workers based on human factors intelligence, according to an embodiment of this application.

[0030] Figure 2 This is a schematic diagram illustrating the process of allocating psychological adjustment training for workers according to one embodiment of this application;

[0031] Figure 3 This is a schematic diagram of a mental health management architecture for employees according to one embodiment of this application;

[0032] Figure 4 This is a schematic diagram of the structure of a human factors intelligence-based mental health management system for workers according to an embodiment of this application;

[0033] Figure 5 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0034] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0035] The following description, with reference to the accompanying drawings, describes an embodiment of the human factors intelligence-based method and management system for managing the mental health of workers according to this application. Addressing the issues mentioned in the background art, such as the lack of comprehensive assessment of workers' psychological data under different work states, the inability to adopt corresponding management strategies based on workers' overall psychological state, the difficulty in accurately understanding workers' mental health status, insufficient risk avoidance monitoring in production work, and the impact on the comprehensiveness of safety management in production units, this application provides a human factors intelligence-based method for managing the mental health of workers. This method can implement corresponding health management plans according to workers' different work states, and comprehensively analyze workers' psychological states using actual data to propose mental health management suggestions, thereby accurately achieving the management of workers' mental health, improving the level of risk avoidance in production work management, and enhancing safety. Therefore, it solves the problems in the related art, such as the lack of comprehensive assessment of workers' psychological data under different work states, the inability to adopt corresponding management strategies based on workers' overall psychological state, the difficulty in accurately understanding workers' mental health status, insufficient risk avoidance monitoring in production work, and the impact on the comprehensiveness of safety management in production units.

[0036] Specifically, Figure 1 This is a flowchart illustrating a method for managing the mental health of workers based on human factors intelligence, provided in an embodiment of this application.

[0037] like Figure 1 As shown, this human factors intelligence-based method for managing the mental health of workers includes the following steps:

[0038] In step S101, the actual working status of at least one operator is detected.

[0039] It is understood that, in the embodiments of this application, the operators may be personnel engaged in related work or work involving high-risk production operations within relevant units that design high-risk production, such as staff working in nuclear power plants. The actual working status of the operators can be obtained through personnel management records, so as to further adopt different mental health management methods for operators with different actual working statuses.

[0040] It's important to note that human factors intelligence (HFE) combines human factors engineering with artificial intelligence (AI) technology. Human factors engineering applies human psychological and physiological principles to the engineering and design of products, processes, and systems; in other words, it's the technology of designing and improving human-machine-environment systems according to human characteristics. Combining this technology with AI enables machines to interact with humans more intelligently. For example, in some scenarios, a person's physiological state can be identified based on their physiological signals.

[0041] In step S102, when the actual working status is detected as attendance status, the pre-job psychological assessment results and on-the-job psychological assessment results of at least one operator are obtained.

[0042] It is understood that, in the embodiments of this application, the actual working status of being in attendance can be the operator who goes to work and leaves work according to the prescribed working hours. After confirming that the operator is in attendance, their historical data can be retrieved based on the operator's identity identifier to obtain the pre-job psychological assessment results and on-the-job psychological assessment results from the historical data. Among them, the pre-job psychological assessment results can be the psychological assessment results of the operator before starting work, and the on-the-job psychological assessment results can be the psychological assessment results of the operator during the work process.

[0043] In step S103, based on what is understood to be an embodiment of this application, a comprehensive psychological state of at least one worker is generated, and psychological health management suggestions for at least one worker are generated using the comprehensive psychological state.

[0044] It is understood that, in the embodiments of this application, the pre-job psychological assessment results and on-the-job psychological assessment results obtained by the above steps can be used to comprehensively analyze the historical data of the workers to obtain their comprehensive psychological state. In this way, through horizontal and vertical comparison of historical data, targeted monitoring of group deviation problems can be carried out, and suggestions for the mental health management of the workers can be obtained.

[0045] For example, before generating mental health management suggestions for at least one worker based on their overall psychological state, the method further includes: determining whether the overall psychological state meets preset adjustment requirements; if the overall psychological state meets the preset adjustment requirements, generating an attendance psychological adjustment training program based on the overall psychological state; and using the attendance psychological adjustment training program to train workers who meet the preset adjustment requirements until the trained workers meet the preset mental health requirements.

[0046] It should be noted that the preset adjustment requirements and preset mental health requirements can be set by those skilled in the art according to the actual situation, and no specific limitations are made here.

[0047] It is understood that, in the embodiments of this application, when the overall psychological state of the operator shows that their psychological adjustment ability does not meet the standard, it can be determined that the overall psychological state of the operator meets the preset adjustment requirements.

[0048] In practice, the psychological adjustment ability level of each worker can be matched according to their overall psychological state, and different attendance psychological adjustment training programs can be matched according to different levels. The attendance psychological adjustment training program can include a specified cumulative training time and a specified training period. Workers can flexibly adjust their training periods according to their actual work schedule, thereby improving their psychological adjustment ability through the attendance psychological adjustment training program.

[0049] For example, psychological adjustment training such as intentional relaxation training, progressive muscle relaxation training, diaphragmatic breathing relaxation training, mindfulness meditation, and rapid energy recovery training can be used to train workers who meet the preset adjustment requirements.

[0050] Before generating mental health management suggestions for workers based on their overall psychological state, this application can determine whether the overall psychological state meets the preset adjustment requirements. If it does, it can generate an attendance psychological adjustment training program based on the overall psychological state, and use the attendance psychological adjustment training program to train workers, thereby helping workers improve their psychological adjustment ability under attendance conditions, ensuring a stable and good psychological state for workers, and further improving the psychological quality of workers.

[0051] For example, the preset mental health requirement is: the psychological adjustment ability of the trained workers reaches the target value.

[0052] It is understood that, in the embodiments of this application, when it is determined that the psychological adjustment ability of the trained operator has reached the target value, the operator is considered to have met the preset psychological health requirements, and the psychological adjustment training program is terminated.

[0053] Specifically, the psychological adjustment ability of trained personnel can be periodically assessed. This can be achieved through various methods, such as: psychological indicator evaluation, using standardized questionnaires or experimental paradigms to assess personnel's psychological indicators, covering cognitive and emotional aspects like attention, memory, reaction speed, mental health, cognitive load, emotions, interpersonal skills, and fatigue levels; psychological state assessment, using real-time physiological data to evaluate personnel's stress, fatigue, and emotional state, verifying the effectiveness of psychological adjustment and relaxation training; and cognitive ability assessment, using a series of cognitive ability tests comprising multiple cognitive dimensions to specifically evaluate individual cognitive abilities. The combined scores from multiple tests are then used to evaluate the personnel's psychological adjustment ability and compare whether their psychological adjustment ability has reached the target value.

[0054] This application presupposes that the psychological health requirement is that the psychological adjustment ability of the trained workers reaches the target value. The application uses a quantitative method to evaluate whether the workers' psychological adjustment ability has achieved the expected training objectives, thereby ensuring the training effect of psychological adjustment training.

[0055] For example, after detecting the actual working status of at least one worker, the method further includes: if the actual working status is a work stoppage status, then conducting a corresponding psychological assessment on the worker in the work stoppage status to obtain the work stoppage psychological assessment result of at least one worker; generating a leave-of-work psychological adjustment training plan based on the work stoppage psychological assessment result; and using the leave-of-work psychological adjustment training plan to train the worker in the work stoppage status until the worker in the work stoppage status meets the preset attendance requirements.

[0056] It should be noted that the preset attendance requirements can be set by those skilled in the art according to the actual situation, and no specific limitations are made here.

[0057] It is understood that, in the embodiments of this application, the actual working status of being suspended from work can be that of an operator who has stopped working and left their post after failing a pre-job psychological assessment or an on-the-job psychological assessment.

[0058] In actual implementation, after confirming that the workers are in a state of suspension, the results of the workers' suspension psychological assessment can be obtained. Different separation psychological adjustment training programs can be assigned according to the actual situation. The separation psychological adjustment training programs are used to train the workers in a state of suspension until the workers in a state of suspension reach the expected mental health state, and the workers are considered to have met the preset attendance requirements.

[0059] For example, if the results of the work stoppage psychological assessment confirm that the workers have characteristics such as anxiety, fear, low mood, or depression, the workers can be assigned corresponding stress emotion adjustment plans and provided with relaxation behavior training techniques to gradually overcome stress responses such as anxiety and fear.

[0060] This application can conduct corresponding psychological assessments on workers who are actually on leave, generate off-duty psychological adjustment training programs based on the results of the off-duty psychological assessments, and train workers on leave until they meet the preset attendance requirements. This provides a mental health training program for workers who are off-duty due to failure to meet the psychological assessment standards, thereby helping them improve their mental health.

[0061] For example, a corresponding psychological assessment is conducted on the workers who are suspended from their posts to obtain the psychological assessment result of at least one worker. This includes: obtaining the actual suspension situation of the workers who are suspended from their posts; if the actual suspension situation is an abnormal suspension before the start of the shift, conducting a cognitive ability assessment on the workers who are suspended from their posts to obtain the cognitive ability assessment result as the psychological assessment result; if the actual suspension situation is an abnormal suspension while on duty, conducting a physiological and emotional assessment on the workers who are suspended from their posts to obtain the physiological and emotional assessment result as the psychological assessment result.

[0062] It is understood that, in the embodiments of this application, abnormal pre-job suspension can refer to workers who leave their posts due to failing the pre-job psychological assessment, and abnormal on-the-job suspension can refer to workers who leave their posts due to failing the on-the-job psychological assessment. Cognitive ability assessment and physiological and emotional assessment can be conducted on workers who leave their posts abnormally before or during the job to obtain their corresponding psychological assessment results.

[0063] Specifically, such as Figure 2 The diagram illustrates the allocation process for psychological adjustment training of workers according to an embodiment of this application. First, pre-job suitability assessments and on-the-job suitability assessments are conducted on the workers. Based on the results, workers are either required to return to work or are suspended from their posts. For workers currently on duty, psychological adjustment training is conducted based on their historical data from the pre-job and on-the-job suitability assessments, particularly if the data shows abnormalities or if they experience high pressure, high fatigue, or negative emotions. For workers currently off-duty, cognitive ability assessments are conducted for those who failed the pre-job suitability assessment, and physiological and emotional assessments are conducted for those who failed the on-the-job suitability assessment, followed by corresponding psychological adjustment training.

[0064] This application can provide different psychological assessments for workers whose actual work stoppage situations are abnormal pre-job stoppage and abnormal on-job stoppage, so as to design further psychological adjustment training and realize diversified and hierarchical mental health management for workers.

[0065] The following detailed description of the working content of the embodiments of this application is based on a specific example. Figure 3 The diagram shown is a schematic of the mental health management architecture for workers according to an embodiment of this application. Taking the mental health management of workers in a nuclear power plant as an example, it is mainly divided into a server and three clients.

[0066] Specifically, the server is the core component of the system, mainly used for project management, user ID management, permission management, report management, and status evaluation algorithm model management.

[0067] The server-side features include: User management, used to store and manage account passwords and personal information of different users within the nuclear power plant; Access control, used to manage access permissions for different users to different content within the client; Program management, including managing pre-job assessment programs under the pre-job suitability measurement client and managing psychological adjustment training programs included in the operator psychological adjustment client, such as anxiety training programs, fear training programs, low mood training programs, and depressive mood training programs; Norm statistics, which can construct graded norms based on the data results from pre-job assessments and psychological adjustment, further building a norm database suitable for operators; State model algorithm, with built-in high-precision binary classification models for stress, fatigue, and emotion, which can be used for real-time assessment of personnel status; State value calculation: the high-performance server on the server-side acts as an AI algorithm model calculation node, outputting personnel state values ​​based on physiological data; and Personal report management. After completing pre-job suitability assessments, personnel status evaluations, and psychological adjustment, individual reports are generated and stored in the database, which can be viewed, exported, and deleted. Group report management allows pre-job suitability assessments, personnel status evaluations, and psychological adjustment reports to be stored in the database as a group, enabling the viewing of the overall situation of the work team, making horizontal and vertical comparisons, and conducting targeted monitoring of group deviations. These reports can also be exported and deleted. Assessment report management stores reports after completing pre-job suitability assessments and personnel status evaluations in the database. These reports provide detailed analysis and evaluation, helping to better understand the assessment data and periodic trends. These reports can also be viewed, exported, and deleted. Training report management generates training reports after completing psychological adjustment training, used to track the results and effects of the training. These reports can also be viewed, exported, and deleted.

[0068] The client application includes pre-job suitability measurement, real-time on-the-job personnel status assessment, and operator psychological adjustment. It aims to comprehensively evaluate employees' psychological state and cognitive abilities, combining the principles of cognitive psychology and physiology to provide multi-dimensional assessments to ensure employees' optimal performance and mental health at work.

[0069] The client application includes the following functions: Cognitive Ability Assessment, which assesses an individual's cognitive abilities using standardized questionnaires or experimental paradigms, covering attention, memory, reaction speed, mental health, cognitive load, emotions, interpersonal skills, and fatigue levels. This helps understand an individual's performance in both cognitive and emotional aspects. Psychological State Assessment, which evaluates an individual's stress, fatigue, and emotional state based on real-time physiological data. When an individual is under high pressure, experiencing high fatigue, or experiencing negative emotions, psychological adjustment and relaxation training can be arranged to quickly adjust their state and reduce the impact of psychological stress and negative emotions. Assessment Solutions, which provides a series of assessment solutions comprising multiple cognitive ability dimensions. These solutions can be used to specifically assess an individual's cognitive abilities to better understand each individual's weaknesses and implement appropriate intervention measures.

[0070] The human factors intelligence-based method for managing the mental health of workers proposed in this application can implement corresponding health management plans according to the different working states of workers. It utilizes actual data to comprehensively analyze the workers' mental state and proposes mental health management suggestions, thereby accurately managing the mental health of workers, improving the risk avoidance level of production work management, and enhancing safety. This solves the problems in related technologies, such as the lack of comprehensive assessment of workers' psychological data under different working states, the inability to adopt corresponding management strategies based on the workers' overall mental state, the difficulty in accurately knowing the mental health status of workers, insufficient risk avoidance monitoring in production work, and the impact on the comprehensiveness of safety management in production units.

[0071] Next, referring to the accompanying drawings, we describe the human factors intelligence-based mental health management system for workers proposed according to embodiments of this application.

[0072] Figure 4 This is a schematic diagram of the structure of the human factors intelligence-based mental health management system for workers, according to an embodiment of this application.

[0073] like Figure 4 As shown, the human factors intelligence-based workplace mental health management system 10 includes: a detection module 100, an acquisition module 200, and a management module 300.

[0074] The detection module 100 is used to detect the actual working status of at least one operator.

[0075] The acquisition module 200 is used to acquire the pre-job psychological assessment results and on-the-job psychological assessment results of at least one operator when the actual working status is detected as attendance status.

[0076] The management module 300 is used to generate a comprehensive psychological state of at least one worker based on the results of pre-job psychological assessment and on-the-job psychological assessment, and to generate psychological health management suggestions for at least one worker based on the comprehensive psychological state.

[0077] For example, the management module 300 also includes a judgment unit, a generation unit, and a training unit.

[0078] The judgment unit is used to determine whether the overall psychological state meets the preset adjustment requirements before generating psychological health management suggestions for at least one worker based on the overall psychological state.

[0079] The generation unit is used to generate an attendance psychological adjustment training plan based on the overall psychological state if the overall psychological state meets the preset adjustment requirements.

[0080] The training unit is used to train workers who meet the preset adjustment requirements using the attendance psychological adjustment training program, until the trained workers meet the preset psychological health requirements.

[0081] For example, the preset mental health requirement is: the psychological adjustment ability of the trained workers reaches the target value.

[0082] For example, system 10 also includes an evaluation module, a generation module, and a training module.

[0083] The assessment module is used to conduct a psychological assessment of the worker who is in a suspended state after detecting the actual working status of at least one worker, and to obtain the suspension psychological assessment result of at least one worker.

[0084] The generation module is used to generate off-duty psychological adjustment training programs based on the results of the suspension psychological assessment.

[0085] The training module is used to train workers who are on leave of absence using a psychological adjustment training program until they meet the preset attendance requirements.

[0086] For example, the evaluation module includes: an acquisition unit, a first evaluation unit, and a second evaluation unit.

[0087] The acquisition unit is used to acquire the actual work stoppage status of workers who are currently on leave.

[0088] The first assessment unit is used to assess the cognitive abilities of workers who are currently on leave when the actual leave situation is an abnormal leave before their shift. The cognitive ability assessment results are then used as the psychological assessment results.

[0089] The second assessment unit is used to conduct physiological and emotional assessments on workers who are in a state of abnormal work stoppage when the actual work stoppage situation is an abnormal work stoppage. The physiological and emotional assessment results are used as the psychological assessment results.

[0090] It should be noted that the foregoing explanation of the embodiment of the human factors intelligence-based workplace mental health management method also applies to the human factors intelligence-based workplace mental health management system of this embodiment, and will not be repeated here.

[0091] The human factors intelligence-based mental health management system for workers proposed in this application can implement corresponding health management plans according to different work states of workers. It utilizes actual data to comprehensively analyze the workers' psychological state and proposes mental health management suggestions, thereby accurately managing workers' mental health, improving the risk avoidance level of production work management, and enhancing safety. This solves the problems in related technologies, such as the lack of comprehensive assessment of workers' psychological data under different work states, the inability to adopt corresponding management strategies based on workers' overall psychological state, the difficulty in accurately knowing the mental health status of workers, insufficient risk avoidance monitoring in production work, and the impact on the comprehensiveness of safety management in production units.

[0092] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0093] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0094] When the processor 502 executes the program, it implements the human factors intelligence-based mental health management method for workers provided in the above embodiments.

[0095] Furthermore, electronic devices also include:

[0096] Communication interface 503 is used for communication between memory 501 and processor 502.

[0097] The memory 501 is used to store computer programs that can run on the processor 502.

[0098] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0099] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0100] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0101] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0102] This embodiment also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described human factors intelligence-based method for managing the mental health of workers.

[0103] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0104] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0105] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0106] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0107] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0108] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0109] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0110] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for managing the mental health of workers based on human factors intelligence, characterized in that, Includes the following steps: Detect the actual working status of at least one operator; If the actual working status is detected as an attendance status, the pre-job psychological assessment results and on-the-job psychological assessment results of at least one operator are obtained. Based on the pre-employment psychological assessment results and the on-the-job psychological assessment results, a comprehensive psychological state of at least one worker is generated, and psychological health management suggestions for at least one worker are generated using the comprehensive psychological state.

2. The method according to claim 1, characterized in that, Before generating mental health management recommendations for the at least one worker using the comprehensive psychological state, the method further includes: Determine whether the overall psychological state meets the preset adjustment requirements; If the overall psychological state meets the preset adjustment requirements, then an attendance psychological adjustment training plan is generated based on the overall psychological state. The attendance psychological adjustment training program is used to train the workers who meet the preset adjustment requirements until the trained workers meet the preset psychological health requirements.

3. The method according to claim 2, characterized in that, The preset mental health requirement is that the psychological adjustment ability of the trained workers reaches the target value.

4. The method according to claim 1, characterized in that, After detecting the actual working status of the at least one operator, the method further includes: If the actual working status is a work stoppage status, then a corresponding psychological assessment is conducted on the workers in the work stoppage status to obtain the work stoppage psychological assessment results of at least one worker. A training program for post-discharge psychological adjustment is generated based on the results of the aforementioned psychological assessment of the suspension of work. The off-duty psychological adjustment training program is used to train the workers who are in the off-duty state until they meet the preset attendance requirements.

5. The method according to claim 4, characterized in that, The step of conducting a corresponding psychological assessment on the workers in the suspended work state to obtain the suspension psychological assessment results for at least one worker includes: Obtain the actual work stoppage status of the workers who are currently on leave; In the case where the actual work stoppage is an abnormal work stoppage before the start of the shift, a cognitive ability assessment is conducted on the workers who are in the work stoppage state, and the cognitive ability assessment results are used as the psychological assessment results. In cases where the actual work stoppage is an abnormal work stoppage while on duty, a physiological and emotional assessment is conducted on the workers who are in a work stoppage state, and the physiological and emotional assessment results are used as the psychological assessment results.

6. A workplace mental health management system based on human factors intelligence, characterized in that, include: The detection module is used to detect the actual working status of at least one operator. The acquisition module is used to acquire the pre-job psychological assessment results and on-the-job psychological assessment results of at least one operator when the actual working status is detected as an attendance status. The management module is used to generate a comprehensive psychological state of at least one worker based on the pre-job psychological assessment results and the on-the-job psychological assessment results, and to generate psychological health management suggestions for at least one worker using the comprehensive psychological state.

7. The system according to claim 6, characterized in that, The management module also includes: The judgment unit is used to determine whether the comprehensive psychological state meets the preset adjustment requirements before generating psychological health management suggestions for the at least one worker based on the comprehensive psychological state. The generation unit is used to generate an attendance psychological adjustment training plan based on the overall psychological state if the overall psychological state meets the preset adjustment requirements. The training unit is used to train the workers who meet the preset adjustment requirements using the attendance psychological adjustment training program until the trained workers meet the preset psychological health requirements.

8. The system according to claim 7, characterized in that, The preset mental health requirement is that the psychological adjustment ability of the trained workers reaches the target value.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the human factors intelligence-based workplace mental health management method as described in any one of claims 1-5.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the human factors intelligence-based method for managing the mental health of workers as described in any one of claims 1-5.

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