Human factor intelligent-based job personnel psychological adjustment method and adjustment system

Abstract

The application relates to the technical field of mental health, in particular to a work personnel psychological adjustment method and system based on human factor intelligence, wherein the method comprises the following steps: obtaining historical psychological evaluation information of work personnel, performing psychological adjustment training on the work personnel based on the historical psychological evaluation information, obtaining adjustment training data of the work personnel, generating a training report and an actual psychological adjustment level of the work personnel, and constructing psychological adjustment optimization suggestions of the work personnel. According to the application, different psychological adjustment training schemes can be adopted based on the historical psychological evaluation information of the work personnel to obtain psychological adjustment optimization suggestions of the work personnel, the personalized psychological adjustment ability training of the work personnel is realized, the stability degree of the psychological state of the work personnel is ensured, the manual risk of production work management is reduced, and the 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 psychological adjustment 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, there is currently no assessment method for the psychological adjustment ability of workers in the relevant technologies. It is difficult to design targeted psychological adjustment training programs based on the actual situation of the workers, and it is impossible to accurately know the psychological adjustment level of the workers so as to conduct corresponding functional assessments. This results in insufficient risk avoidance management 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 method and system for psychological adjustment of workers based on human factors intelligence, in order to solve the problems that there is no assessment method for the psychological adjustment ability of workers in related technologies, it is difficult to design targeted psychological adjustment training programs according to the actual situation of workers, it is impossible to accurately know the psychological adjustment level of workers so as to conduct corresponding functional assessments, resulting in insufficient risk avoidance management in production work and affecting the comprehensiveness of safety management of production work units.

[0005] The first aspect of this application provides a method for psychological adjustment of workers based on human factors intelligence, comprising the following steps: obtaining historical psychological assessment information of workers; conducting psychological adjustment training on workers based on the historical psychological assessment information to obtain adjustment training data of workers; generating training reports and actual psychological adjustment levels of workers based on the adjustment training data, and constructing psychological adjustment optimization suggestions for workers based on the training reports and actual psychological adjustment levels.

[0006] Based on the above-mentioned technical means, the embodiments of this application can adopt different psychological adjustment training programs based on the historical psychological assessment information of the operators to obtain psychological adjustment optimization suggestions for the operators, realize personalized psychological adjustment ability training for the operators, ensure the stability of the operators' psychological state, thereby reducing the human risk in production work management and making it safer.

[0007] For example, the step of conducting psychological adjustment training on the workers based on the historical psychological assessment information includes: confirming the actual fatigue level of the workers based on the historical psychological assessment information; matching at least one intentional relaxation training program according to the actual fatigue level, so as to train the corresponding workers using the at least one intentional relaxation training program.

[0008] Based on the above technical means, the embodiments of this application can confirm the actual fatigue level of the workers based on historical psychological assessment information and match at least one intentional relaxation training program to train the corresponding workers using at least one intentional relaxation training program. By enabling workers to carry out relaxation training in a safe and comfortable environment, the effects of stress reduction and mental health improvement can be achieved, helping workers to recover quickly in a state of fatigue, cognitive load, or tension.

[0009] For example, the step of conducting psychological adjustment training for the workers based on the historical psychological assessment information includes: detecting whether the workers have indicators to be optimized based on the historical psychological assessment information; if the workers are found to have indicators to be optimized, matching at least one indicator optimization training scheme to the indicators to be optimized, so as to train the corresponding workers using the at least one indicator optimization training scheme.

[0010] Based on the above technical means, the embodiments of this application can, based on historical psychological assessment information, train the corresponding operators using an indicator optimization training program when it is detected that there are indicators to be optimized in the operators, thereby achieving targeted improvement of the operators' work ability through psychological adjustment training.

[0011] For example, the step of conducting psychological adjustment training on the workers based on the historical psychological assessment information includes: generating the actual cognitive abilities of the workers based on the historical psychological assessment information; matching at least one cognitive ability training scheme according to the actual cognitive abilities, so as to train the corresponding workers using the at least one cognitive ability training scheme.

[0012] Based on the above technical means, the embodiments of this application can generate the actual cognitive ability of the workers based on historical psychological assessment information, and use the cognitive ability training program to train the corresponding workers, thereby improving the cognitive ability of the workers in a targeted manner, and taking corresponding training as an intervention measure for the weak points of different individuals' abilities.

[0013] For example, the step of conducting psychological adjustment training on the workers based on the historical psychological assessment information includes: determining whether the historical psychological assessment information meets preset stress conditions; if the historical psychological assessment information meets the preset stress conditions, obtaining the workers' emotional stress state based on the historical psychological assessment information; and constructing at least one stress regulation training program using the emotional stress state to train the corresponding workers using the at least one stress regulation training program.

[0014] Based on the above technical means, the embodiments of this application can obtain the emotional stress state of the workers when the historical psychological assessment information meets the preset stress conditions, and use the stress regulation training program to train the corresponding workers, thereby ensuring the workers' stable and good psychological state and further improving the workers' psychological quality.

[0015] A second aspect of this application provides a human factors intelligence-based psychological adjustment system for workers, comprising: an acquisition module for acquiring historical psychological assessment information of workers; a training module for conducting psychological adjustment training on the workers based on the historical psychological assessment information to obtain adjustment training data of the workers; and an adjustment module for generating a training report and actual psychological adjustment level of the workers based on the adjustment training data, and constructing psychological adjustment optimization suggestions for the workers based on the training report and the actual psychological adjustment level.

[0016] Based on the above-mentioned technical means, the embodiments of this application can adopt different psychological adjustment training programs based on the historical psychological assessment information of the operators to obtain psychological adjustment optimization suggestions for the operators, realize personalized psychological adjustment ability training for the operators, ensure the stability of the operators' psychological state, thereby reducing the human risk in production work management and making it safer.

[0017] For example, the training module includes: a confirmation unit, configured to confirm the actual fatigue level of the worker based on the historical psychological assessment information; and a first training unit, configured to match at least one intentional relaxation training program according to the actual fatigue level, so as to train the corresponding worker using the at least one intentional relaxation training program.

[0018] Based on the above technical means, the embodiments of this application can confirm the actual fatigue level of the workers based on historical psychological assessment information and match at least one intentional relaxation training program to train the corresponding workers using at least one intentional relaxation training program. By enabling workers to carry out relaxation training in a safe and comfortable environment, the effects of stress reduction and mental health improvement can be achieved, helping workers to recover quickly in a state of fatigue, cognitive load, or tension.

[0019] For example, the training module includes: a detection unit, used to detect whether the operator has any indicators to be optimized based on the historical psychological assessment information; and a second training unit, used to match at least one indicator optimization training scheme to the indicator to be optimized when the operator is detected to have the indicator to be optimized, so as to train the corresponding operator using the at least one indicator optimization training scheme.

[0020] Based on the above technical means, the embodiments of this application can, based on historical psychological assessment information, train the corresponding operators using an indicator optimization training program when it is detected that there are indicators to be optimized in the operators, thereby achieving targeted improvement of the operators' work ability through psychological adjustment training.

[0021] For example, the training module includes: a generation unit, used to generate the actual cognitive ability of the operator based on the historical psychological assessment information; and a third training unit, used to match at least one cognitive ability training scheme according to the actual cognitive ability, so as to train the corresponding operator using the at least one cognitive ability training scheme.

[0022] Based on the above technical means, the embodiments of this application can generate the actual cognitive ability of the workers based on historical psychological assessment information, and use the cognitive ability training program to train the corresponding workers, thereby improving the cognitive ability of the workers in a targeted manner, and taking corresponding training as an intervention measure for the weak points of different individuals' abilities.

[0023] For example, the training module includes: a judgment unit, used to judge whether the historical psychological assessment information meets the preset stress conditions; an acquisition unit, used to obtain the emotional stress state of the worker based on the historical psychological assessment information if the historical psychological assessment information meets the preset stress conditions; and a fourth training unit, used to construct at least one stress regulation training scheme using the emotional stress state, so as to train the corresponding worker using the at least one stress regulation training scheme.

[0024] Based on the above technical means, the embodiments of this application can obtain the emotional stress state of the workers when the historical psychological assessment information meets the preset stress conditions, and use the stress regulation training program to train the corresponding workers, thereby ensuring the workers' stable and good psychological state and further improving the workers' psychological quality.

[0025] 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 psychological adjustment method for workers as described in the above embodiments.

[0026] 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 adjusting the psychological state of workers.

[0027] This application's embodiments can adopt different psychological adjustment training programs based on the historical psychological assessment information of operators to obtain optimized psychological adjustment suggestions for operators. This achieves personalized psychological adjustment ability training for operators, ensures the stability of their psychological state, and thus reduces the human risk in production work management, enhancing safety. Therefore, it solves the problems in related technologies, such as the lack of assessment methods for operators' psychological adjustment abilities, the difficulty in designing targeted psychological adjustment training programs based on the actual situation of workers, the inability to accurately determine the psychological adjustment level of workers for corresponding functional assessments, insufficient risk avoidance management in production work, and the impact on the comprehensiveness of safety management in production units.

[0028] 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

[0029] 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:

[0030] Figure 1 This is a flowchart illustrating a method for psychological adjustment of workers based on human factors intelligence, according to an embodiment of this application.

[0031] Figure 2 This is a schematic diagram illustrating the principle of psychological adjustment training according to one embodiment of this application;

[0032] Figure 3 This is an interactive schematic diagram of psychological adjustment training according to one embodiment of this application;

[0033] Figure 4 This is a schematic diagram of a psychological adjustment device according to an embodiment of this application;

[0034] Figure 5 This is a schematic diagram of the structure of a human factors intelligence-based worker psychological adjustment system according to an embodiment of this application;

[0035] Figure 6 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0036] 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.

[0037] The following description, with reference to the accompanying drawings, describes a human factors intelligence-based method and system for adjusting the psychological adjustment of workers according to embodiments of this application. Addressing the issues mentioned in the background art, which lack an assessment method for workers' psychological adjustment abilities, making it difficult to design targeted psychological adjustment training programs based on workers' actual situations, and hindering accurate assessment of workers' psychological adjustment levels for corresponding functional evaluations, this application provides a human factors intelligence-based method for workers' psychological adjustment. This method can adopt different psychological adjustment training programs based on workers' historical psychological assessment information to obtain optimized suggestions for workers' psychological adjustment, achieving personalized psychological adjustment ability training for workers, ensuring the stability of workers' psychological state, thereby reducing human-induced risks in production management and enhancing safety. Thus, it solves the problems of the lack of an assessment method for workers' psychological adjustment abilities in related technologies, the difficulty in designing targeted psychological adjustment training programs based on workers' actual situations, the inability to accurately assess workers' psychological adjustment levels for corresponding functional evaluations, and the resulting inadequate risk avoidance management in production work, affecting the comprehensiveness of safety management in production units.

[0038] Specifically, Figure 1 This is a flowchart illustrating a method for adjusting the psychological state of workers based on human factors intelligence, provided in an embodiment of this application.

[0039] like Figure 1 As shown, this human factors intelligence-based method for adjusting the psychological state of workers includes the following steps:

[0040] In step S101, historical psychological assessment information of the workers is obtained.

[0041] It is understood that, in the embodiments of this application, the operator may be a person engaged in related work or work involving high-risk production operations within the relevant unit designing high-risk production, such as a worker working in a nuclear power plant. The historical psychological assessment information of the operator may be all psychological assessment information of the person within a fixed period of time, such as the pre-job psychological assessment information of the operator in the pre-job work stage and the on-the-job psychological assessment information of the operator in the on-the-job work stage.

[0042] 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.

[0043] In step S102, psychological adjustment training is conducted on the workers based on historical psychological assessment information to obtain the workers' adjustment training data.

[0044] It is understood that, in the embodiments of this application, the historical psychological assessment information of the workers obtained in the above steps can be used to conduct targeted psychological adjustment training for different workers, and the training data during the psychological adjustment training process and the test data after the training can be recorded to obtain the workers' adjustment training data.

[0045] For example, psychological adjustment training for workers based on historical psychological assessment information includes: confirming the actual fatigue level of workers based on historical psychological assessment information; matching at least one intentional relaxation training program according to the actual fatigue level, so as to train the corresponding workers using at least one intentional relaxation training program.

[0046] It is understood that, in the embodiments of this application, the actual fatigue level of the corresponding worker can be obtained based on the physiological data of the worker in the historical psychological assessment information. Then, a corresponding intentional relaxation training program can be selected based on the actual fatigue level, and the worker can carry out corresponding training according to the intentional relaxation training program. The intentional relaxation training program may include psychological adjustment training such as intentional relaxation training, progressive muscle relaxation training, abdominal breathing relaxation training, mindfulness meditation, and rapid energy recovery training.

[0047] In actual practice, the actual fatigue level can correspond to different grades, such as Grade A fatigue, Grade B fatigue, etc. Based on the actual fatigue level of different grades, intentional relaxation training programs of different durations and relaxation depths can be designed for the workers to help them train according to the designed intentional relaxation training programs in order to reduce the fatigue level of the workers.

[0048] This application can confirm the actual fatigue level of workers based on historical psychological assessment information and match at least one intentional relaxation training program to train the corresponding workers. By enabling workers to conduct relaxation training in a safe and comfortable environment, it can reduce stress, improve mental health, and help workers recover quickly from fatigue, cognitive load, or tension.

[0049] For example, psychological adjustment training for workers based on historical psychological assessment information includes: detecting whether there are indicators to be optimized for workers based on historical psychological assessment information; if at least one indicator optimization training scheme is matched to the indicator to be optimized, so as to train the corresponding workers using at least one indicator optimization training scheme.

[0050] It is understood that, in the embodiments of this application, the indicators to be optimized for the corresponding operators can be obtained based on the indicator test data of the operators in the historical psychological assessment information. The indicators to be optimized can be obtained by analyzing the indicators that did not meet the test requirements in the historical indicator test data of the operators, obtaining the characteristics of the psychological indicators, and confirming the indicators to be optimized for the operators in combination with the actual applicability of the power plant. The training methods for each indicator can be analyzed, such as heart rate variability adjustment training for heart rate indicators, and brainwave training for concentration, relaxation or fatigue levels for EEG indicators, etc., to optimize the training program for the corresponding operators using at least one indicator optimization training program.

[0051] This application can use historical psychological assessment information to train corresponding workers with an indicator optimization training program when it is detected that there are indicators that need to be optimized. This will achieve targeted improvement of workers' work ability through psychological adjustment training.

[0052] For example, psychological adjustment training for workers based on historical psychological assessment information includes: generating the actual cognitive abilities of workers based on historical psychological assessment information; matching at least one cognitive ability training program according to the actual cognitive abilities, so as to train the corresponding workers using at least one cognitive ability training program.

[0053] It is understood that, in the embodiments of this application, the actual cognitive ability of the corresponding worker can be obtained based on the cognitive ability assessment data of the worker in the historical psychological assessment information. The cognitive ability assessment data includes historical standardized questionnaire scales or experimental paradigms of personnel cognitive ability assessment, covering personnel attention, memory, reaction speed, mental health, cognitive load, emotions, interpersonal communication, fatigue level, etc. Based on the actual cognitive ability, the level of cognitive deviation of the worker is identified, and training programs for multiple cognitive ability dimensions are provided for different aspects of cognitive deviation, so as to carry out targeted training to improve the corresponding cognitive ability.

[0054] This application can generate the actual cognitive abilities of workers based on historical psychological assessment information, and use cognitive ability training programs to train the corresponding workers, thereby improving their cognitive abilities in a targeted manner, and taking corresponding training as an intervention measure for the weak points of different individuals.

[0055] For example, psychological adjustment training for workers based on historical psychological assessment information includes: determining whether the historical psychological assessment information meets preset stress conditions; if the historical psychological assessment information meets preset stress conditions, obtaining the worker's emotional stress state based on the historical psychological assessment information; and constructing at least one stress regulation training program using the emotional stress state to train the corresponding worker using at least one stress regulation training program.

[0056] It should be noted that the preset stress conditions 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, psychological problems of workers can be screened based on historical psychological assessment information. If the historical psychological assessment information confirms that the workers have characteristics such as anxiety, fear, low mood, or depression, then the historical psychological assessment information is considered to meet the preset stress conditions. At least one stress regulation training program can be constructed to adjust the workers' psychology and provide relaxation behavior training techniques for gradually overcoming stress reactions such as anxiety and fear.

[0058] In practice, training materials can be developed based on the different stress characteristics of workers, including images and videos of stress scenarios, teaching materials and training scenarios for relaxation techniques to gradually overcome stress responses such as anxiety and fear. Stress regulation training programs are provided for individuals experiencing anxiety, phobias, low mood, and depressive states. Details of these programs include their application, theoretical support, and the training methods and steps involved.

[0059] For example, stress regulation training programs can be combined with professional psychological and emotional adjustment methods such as biofeedback technology, relaxation therapy, systematic desensitization technology, and emotion regulation technology. The training program includes assessment, relaxation training, method learning, and application verification. It guides users to understand their own physiological and psychological changes and to consciously and specifically regulate their own physical and mental state. Ultimately, the trainees can become independent of the training equipment and actively use the mastered methods to effectively regulate themselves when they encounter stress, tension, or other physical and mental discomfort in real life.

[0060] This application can determine the emotional stress state of workers based on historical psychological assessment information when the preset stress conditions are met, and then use a stress regulation training program to train the corresponding workers, thereby ensuring the workers' stable and good psychological state and further improving their psychological quality.

[0061] In step S103, a training report and actual psychological adjustment level of the workers are generated based on the adjustment training data, and psychological adjustment optimization suggestions for the workers are constructed based on the training report and actual psychological adjustment level.

[0062] It is understood that, in the embodiments of this application, the psychological or physiological information recorded during the training process in the adjustment training data can be used as the training content of the training report, and the psychological or physiological information collected after the training in the adjustment training data can be used as the training result of the training report to obtain the final training report, and the actual psychological adjustment level of the operator can be analyzed based on the training report.

[0063] In practice, users can view a training report after training, which includes records of physiological indicators and physical and mental states during the training process, explanations and interpretations of the results, and other recommended training and guidance suggestions. This provides effective advice for further psychological counseling or intervention. Alternatively, relevant mental health management personnel can provide suggestions for optimizing the operator's psychological adjustment based on the training report and actual psychological adjustment level, helping the operator to optimize their self-psychological adjustment.

[0064] The following detailed description of the working content of the embodiments of this application is based on a specific example, such as... Figure 2 The diagram shown illustrates the principle of psychological adjustment training according to one embodiment of this application. Taking nuclear power plant workers as an example, workers can log in via a mobile app and bind devices, such as psychological adjustment devices, by scanning a QR code. This allows them to obtain historical psychological assessment data for training program selection. During training, physiological data is collected, and the data is processed on a high-performance server using an algorithm model to output the worker's status. Based on the output report, the training report can be stored in a database. The report provides detailed analysis and evaluation, helping to better understand the assessment data and periodic trends. It can be viewed, exported, and deleted.

[0065] Specifically, taking the practical application of psychological adjustment equipment in intentional relaxation training as an example, such as... Figure 3The diagram shown is an interactive illustration of psychological adjustment training according to an embodiment of this application. It can utilize intelligent relaxation devices to generate professional and standardized teaching materials and videos by integrating instructions, demonstration teaching, and relaxation scenarios, thus forming an intelligent relaxation simulation environment. At the same time, it uses physiological monitoring devices combined with biofeedback technology to monitor the physiological indicators of the user in real time, and calculates the user's physical and mental state indicators in real time based on data such as heart rate, respiration, and brain waves using intelligent algorithms. These indicators include: focus, relaxation level, fatigue level, heart rate variability, and respiratory rate. This helps users understand their own physical and mental state and master the techniques and methods of physical and mental regulation and relaxation.

[0066] in, Figure 4 This is a schematic diagram of a psychological adjustment device according to an embodiment of this application. It provides an intelligent relaxation massage chair for intentional relaxation training. The intelligent relaxation massage chair integrates a relaxation chair, a physiological monitoring device connection interface, an intelligent user terminal device connection interface, etc., to meet the requirements of device connection and integrated design. It is ergonomically designed, fully electric, and includes accessories such as a handheld wireless remote control.

[0067] A virtual reality system is installed in the smart relaxation massage chair to help users perform physical and mental relaxation training. This system mainly includes: a head-mounted display to immerse the user in the virtual environment, using high-definition image quality to provide a detailed visual experience; positioning sensors to capture the user's movement in the virtual environment, allowing the virtual scene to be adjusted based on the user's behavior to enhance interactivity; and a handheld controller for interacting with objects in the virtual environment, such as walking and picking up items. Through the handheld controller, users can participate in the virtual scene more naturally.

[0068] The integrated physiological monitoring device collects physiological data from users on the smart relaxation massage chair. It can collect and monitor various modal physiological signals such as electroencephalogram (EEG), electrodermal conductance (EDA), electrocardiogram (ECG), blood volume and pulse, body temperature, EDA, and respiration. Users can freely select and combine corresponding physiological indicators for training according to their training needs.

[0069] Ultimately, the intelligent user terminal provides users with psychological assessments, psychological adjustment training programs, and interfaces. After training begins, each training terminal can independently detect human physiological data and provide real-time visualization of the user's physical and mental state. After training or assessment, users can view the results through the user terminal.

[0070] The human factors intelligence-based method for worker psychological adjustment proposed in this application can adopt different psychological adjustment training programs based on the worker's historical psychological assessment information to obtain optimized suggestions for worker psychological adjustment. This achieves personalized psychological adjustment ability training for workers, ensures the stability of workers' psychological state, and thus reduces the human risk in production work management, enhancing safety. Therefore, it solves the problems in related technologies, such as the lack of assessment methods for workers' psychological adjustment abilities, the difficulty in designing targeted psychological adjustment training programs based on the actual situation of workers, the inability to accurately determine the workers' psychological adjustment level for corresponding functional assessments, insufficient risk avoidance management 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 psychological adjustment system for workers proposed according to the embodiments of this application.

[0072] Figure 5 This is a schematic diagram of the structure of the human factors intelligence-based psychological adjustment system for workers according to an embodiment of this application.

[0073] like Figure 5 As shown, the human factors intelligence-based psychological adjustment system 10 for workers includes: an acquisition module 100, a training module 200, and an adjustment module 300.

[0074] The acquisition module 100 is used to acquire the historical psychological assessment information of the workers.

[0075] Training module 200 is used to conduct psychological adjustment training for workers based on historical psychological assessment information, and to obtain adjustment training data of workers.

[0076] The adjustment module 300 is used to generate training reports and actual psychological adjustment levels of operators based on adjustment training data, and to construct psychological adjustment optimization suggestions for operators based on the training reports and actual psychological adjustment levels.

[0077] For example, the training module 200 includes: a confirmation unit and a first training unit.

[0078] The confirmation unit is used to confirm the actual fatigue level of workers based on historical psychological assessment information.

[0079] The first training unit is used to match at least one intentional relaxation training program according to the actual fatigue level, so as to train the corresponding workers using at least one intentional relaxation training program.

[0080] For example, the training module 200 includes: a detection unit and a second training unit.

[0081] The detection unit is used to detect whether there are any indicators that need to be optimized for the workers based on historical psychological assessment information.

[0082] The second training unit is used to match at least one indicator optimization training scheme with the indicator to be optimized when it is detected that there are indicators to be optimized for the operator, so as to train the corresponding operator using at least one indicator optimization training scheme.

[0083] For example, the training module 200 includes a generation unit and a third training unit.

[0084] The generation unit is used to generate the actual cognitive abilities of the workers based on historical psychological assessment information.

[0085] The third training unit is used to match at least one cognitive ability training program with the actual cognitive ability, so as to train the corresponding operator using at least one cognitive ability training program.

[0086] For example, the training module 200 includes: a judgment unit, an acquisition unit, and a fourth training unit.

[0087] The judgment unit is used to determine whether the historical psychological assessment information meets the preset stress conditions.

[0088] The acquisition unit is used to obtain the emotional stress state of the workers based on the historical psychological assessment information if the historical psychological assessment information meets the preset stress conditions.

[0089] The fourth training unit is used to construct at least one stress regulation training program based on emotional stress states, so as to train the corresponding workers using at least one stress regulation training program.

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

[0091] The human factors intelligence-based worker psychological adjustment system proposed in this application can adopt different psychological adjustment training programs based on the historical psychological assessment information of workers to obtain optimization suggestions for workers' psychological adjustment. This realizes personalized psychological adjustment ability training for workers, ensures the stability of workers' psychological state, and thus reduces the human risk in production work management, making it safer. Therefore, it solves the problems in related technologies, such as the lack of assessment methods for workers' psychological adjustment ability, the difficulty in designing targeted psychological adjustment training programs based on the actual situation of workers, the inability to accurately know the workers' psychological adjustment level for corresponding functional assessment, insufficient risk avoidance management in production work, and the impact on the comprehensiveness of safety management in production units.

[0092] Figure 6 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 601, the processor 602, and the computer program stored on the memory 601 and capable of running on the processor 602.

[0094] When the processor 602 executes the program, it implements the human factors intelligence-based psychological adjustment method for workers provided in the above embodiments.

[0095] Furthermore, electronic devices also include:

[0096] Communication interface 603 is used for communication between memory 601 and processor 602.

[0097] The memory 601 is used to store computer programs that can run on the processor 602.

[0098] The memory 601 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 601, processor 602, and communication interface 603 are implemented independently, then the communication interface 603, memory 601, and processor 602 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 6 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 601, processor 602, and communication interface 603 are integrated on a single chip, then the memory 601, processor 602, and communication interface 603 can communicate with each other through an internal interface.

[0101] The processor 602 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 that, when executed by a processor, implements the above-described human factors intelligence-based method for adjusting the psychological state 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 psychological adjustment of workers based on human factors intelligence, characterized in that, Includes the following steps: Obtain historical psychological assessment information of the workers; Based on the historical psychological assessment information, psychological adjustment training is conducted on the workers to obtain the workers' adjustment training data. Based on the adjustment training data, a training report and actual psychological adjustment level of the operators are generated, and psychological adjustment optimization suggestions for the operators are constructed based on the training report and the actual psychological adjustment level.

2. The method according to claim 1, characterized in that, The psychological adjustment training for the workers based on the historical psychological assessment information includes: The actual fatigue level of the workers was confirmed based on the historical psychological assessment information. At least one intentional relaxation training program is matched according to the actual fatigue level, so as to train the corresponding workers using the at least one intentional relaxation training program.

3. The method according to claim 1, characterized in that, The psychological adjustment training for the workers based on the historical psychological assessment information includes: Based on the historical psychological assessment information, it is determined whether the workers have any indicators that need to be optimized. If the operator is found to have the indicator to be optimized, at least one indicator optimization training scheme is matched to the indicator to be optimized, so as to train the corresponding operator using the at least one indicator optimization training scheme.

4. The method according to claim 1, characterized in that, The psychological adjustment training for the workers based on the historical psychological assessment information includes: The actual cognitive abilities of the workers are generated based on the historical psychological assessment information. At least one cognitive ability training scheme is matched according to the actual cognitive ability, so as to train the corresponding operator using the at least one cognitive ability training scheme.

5. The method according to claim 1, characterized in that, The psychological adjustment training for the workers based on the historical psychological assessment information includes: Determine whether the historical psychological assessment information meets the preset stress conditions; If the historical psychological assessment information meets the preset stress conditions, then the emotional stress state of the worker is obtained based on the historical psychological assessment information. At least one stress regulation training program is constructed using the emotional stress state, and the corresponding workers are trained using the at least one stress regulation training program.

6. A psychological adjustment system for workers based on human factors intelligence, characterized in that, include: The acquisition module is used to acquire the historical psychological assessment information of the workers. The training module is used to conduct psychological adjustment training for the workers based on the historical psychological assessment information, and to obtain the workers' adjustment training data. The adjustment module is used to generate a training report and actual psychological adjustment level of the operator based on the adjustment training data, and to construct psychological adjustment optimization suggestions for the operator based on the training report and the actual psychological adjustment level.

7. The system according to claim 6, characterized in that, The training module includes: A confirmation unit is used to confirm the actual fatigue level of the worker based on the historical psychological assessment information. The first training unit is used to match at least one intentional relaxation training program according to the actual fatigue level, so as to train the corresponding workers using the at least one intentional relaxation training program.

8. The system according to claim 6, characterized in that, The training module includes: The detection unit is used to detect whether the operator has any indicators that need to be optimized, based on the historical psychological assessment information. The second training unit is used to match at least one indicator optimization training scheme to the indicator to be optimized when the operator is detected to have the indicator to be optimized, so as to train the corresponding operator using the at least one indicator optimization training scheme.

9. An electronic device, characterized in that, include: The memory, the processor, and the computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the human factors intelligence-based method for adjusting the psychological state of workers 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 adjusting the psychological state of workers as described in any one of claims 1-5.

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