Civil aviation team construction information intelligent management system and method

Abstract

The invention belongs to but is not limited to the technical field of intelligent information management, and particularly relates to an intelligent management system and method for civil aviation team construction information, and an intelligent management module, which intelligently parses text information in a team, and can deeply mine the law and trend of team operation through a big data analysis technology; the efficient operation module ensures high availability and elastic expansion of the system, and the application of the process engine technology enables the team management process to be automatic and standardized; the standardized management module is used for ensuring that team management realizes standardized and systematized operation; through a workflow modeling and automatic scheduling mechanism, the system supports a self-defined workflow, and the standardization and consistency of team work are ensured; according to the user experience optimization module, a UI / UX design concept is adopted, dynamic interaction and response type design technologies are combined, a system interface is intuitive and easy to understand, operation is convenient and fast, and the enthusiasm and satisfaction of employees in using the system are improved through user-friendly interface design and interactive experience.

Description

Technical Field

[0001] The present invention belongs to but is not limited to the field of intelligent information management technology, and in particular relates to an intelligent management system and method for civil aviation crew construction information. Background Art

[0002] With the rapid development of the civil aviation industry, the number of registered teams has gradually increased. Team building is the cornerstone of ensuring safe production in civil aviation. As a basic production and management unit, the management efficiency of the team is crucial to the overall safety and high-quality operation of airlines. However, traditional team management methods often rely on manual operation and experience judgment, and there are problems such as low efficiency, inaccurate decision-making, and non-standardized processes. Therefore, using modern scientific and technological means to optimize and improve team management has become an urgent need for team building work.

[0003] The existing technical problems in civil aviation crew construction include the following four aspects:

[0004] (1) Limitations of the ledger storage method

[0005] The existing team records are mostly kept in a mixed paper or electronic format, which not only takes up space, but is also extremely inefficient in finding, managing and updating information. In addition, paper materials are easily lost or damaged, and the format and storage method of electronic materials lack uniformity, leading to inconvenience in information management.

[0006] (2) The unintuitive nature of the logical association of ledgers

[0007] There is duplication in the content of modules such as "thematic construction" and "six to the team" in team building. It is not easy to establish effective logical connections in traditional work, making it difficult for team members to form clear understanding and operational guidance when understanding and executing.

[0008] (3) Inconsistency in team building records requirements

[0009] Different work groups have different understandings of the requirements for the ledger, especially the vague definition of the entry standards and time nodes for some items, which directly affects the quality and efficiency of team building.

[0010] (4) Difficulty and timeliness of supervision and inspection

[0011] Traditional team supervision and inspection relies on the collection and copying of a large amount of paper materials, which not only increases the workload, but also makes it difficult to ensure the timeliness of supervision and inspection, resulting in delays in problem discovery and resolution.

[0012] Therefore, the current team building work relies on paper data storage, which will cause data loss, easy confusion, low management efficiency, poor logical relevance and other problems. In view of the shortcomings of the prior art, the present invention proposes a solution for a civil aviation team building information system. The system aims to achieve intelligent, efficient and standardized team management with the help of modern scientific and technological means, such as artificial intelligence, big data, cloud computing and process engine technology. Specifically, the system can realize intelligent analysis and classification of text information through natural language processing (NLP) technology, and provide accurate and effective data information support for team management. The big data analysis technology is used to deeply explore the laws and trends of team operations, help team leaders predict potential problems, and formulate response strategies in advance. Relying on cloud computing technology to ensure the high availability and elastic expansion of the system, meet the real-time needs of team management. The process engine technology realizes the automation and standardization of the team management process, reducing manual intervention and error rate.

[0013] Therefore, the development of an intelligent information system aims to address the shortcomings of existing technologies, make full use of modern scientific and technological means, realize intelligent, efficient and standardized team management, and solve various problems in the team building process through a scientific and convenient information management system, which is expected to significantly improve the level of civil aviation safety production. Summary of the invention

[0014] In view of the problems existing in the prior art, the present invention provides an intelligent management system and method for civil aviation crew construction information.

[0015] The present invention is implemented as follows: an intelligent management system for civil aviation crew construction information, comprising:

[0016] The intelligent management module uses natural language processing (NLP) technology. The system can intelligently analyze text information within the team, including work logs, meeting records, personnel files, supervision inspection forms, training records, safety education, risk assessment forms, etc., and automatically classify, summarize and extract key information; through big data analysis technology, the system can deeply explore the rules and trends of team operations, including production efficiency, equipment failure rate, personnel work status, etc., to help team leaders predict potential problems and formulate response strategies in advance; grasp the deep-level rules of team operations and provide a scientific basis for optimizing management. Through data visualization technology, including personnel composition pie charts and development trend charts, provide intuitive and comprehensive data support for team leaders;

[0017] The efficient operation module uses cloud computing technology to ensure high availability and elastic expansion of the system. Even during peak hours or emergencies, the system can maintain stable operation and meet the real-time needs of team management. The application of process engine technology enables the automation and standardization of team management processes, reduces manual intervention, reduces error rates, and improves work efficiency.

[0018] The standardized management module focuses on basic management, grassroots construction and basic skills training to ensure that the team management is standardized and systematic. Through workflow modeling and automated scheduling mechanisms, the system supports customized workflows to ensure the standardization and consistency of team work.

[0019] The user experience optimization module adopts advanced user interface / user experience (UI / UX) design concepts, combined with dynamic interaction and responsive design technology. The system interface is intuitive and easy to understand, and easy to operate, allowing team members to quickly get started and reduce training costs. Through user-friendly interface design and interactive experience, it increases employees' enthusiasm and satisfaction in using the system, further improving the overall effectiveness of team management.

[0020] Another object of the present invention is to provide a method for intelligent management of civil aviation crew construction information for realizing the intelligent management system of civil aviation crew construction information, comprising:

[0021] S1, using natural language processing technology, the system can intelligently analyze text information within the team, including work logs and meeting records, automatically classify, summarize and extract key information; through big data analysis technology, the system can deeply explore the rules and trends of team operations, including production efficiency and equipment failure rate, to help team leaders predict potential problems and formulate response strategies in advance; grasp the deep-level rules of team operations and provide a scientific basis for optimizing management. Through data visualization technology, including personnel composition pie charts and development trend charts, provide intuitive and comprehensive data support for team leaders;

[0022] S2, using cloud computing technology to ensure the high availability and elastic expansion of the system. Even during peak hours or emergencies, the system can maintain stable operation and meet the real-time needs of team management. The application of process engine technology enables the automation and standardization of team management processes, reduces manual intervention, reduces error rates, and improves work efficiency.

[0023] S3, focusing on basic management, grassroots construction and basic skills training, ensures that team management is in standardized and systematic operation; through workflow modeling and automated scheduling mechanism, the system supports customized workflow to ensure the standardization and consistency of team work;

[0024] S4 adopts advanced UI / UX design concepts, combined with dynamic interaction and responsive design technology. The system interface is intuitive and easy to understand, and easy to operate, allowing team members to quickly get started and reduce training costs. Through user-friendly interface design and interactive experience, it increases employees' enthusiasm and satisfaction in using the system, further improving the overall efficiency of team management.

[0025] Another object of the present invention is to provide a computer device, the computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the intelligent management method of civil aviation crew construction information.

[0026] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the intelligent management method of civil aviation crew construction information.

[0027] Another object of the present invention is to provide an information data processing terminal, which includes the intelligent management system for civil aviation crew construction information.

[0028] In view of the technical problems existing in the above-mentioned prior art and the difficulty of solving the problems, the technical solutions to be protected by the present invention and the results and data during the research and development process are closely combined to analyze in detail and deeply how the technical solutions of the present invention solve the technical problems, and some creative technical effects brought about after solving the problems. The specific description is as follows:

[0029] (1) Limitations of the ledger storage method

[0030] Solution: By developing an electronic ledger system based on cloud computing, electronic data storage methods are used to replace the traditional paper and electronic mixed storage methods, and cloud storage and management of data is realized. All team data is centrally stored and managed in the system to ensure the uniformity and consistency of data. At the same time, the system supports real-time update and synchronization of data to ensure that all users can access the latest information.

[0031] Technical effect: The present invention pushes the standardization and regulation of the overall team to a higher level, improves the security and accessibility of data, and reduces the data risk caused by physical damage or loss. Users can access ledger data anytime and anywhere through the Internet, without being restricted by time and place. The system's built-in search function allows users to quickly retrieve the required information, which greatly improves the search efficiency compared to paper documents. The automated data update mechanism reduces manual input errors and ensures the accuracy and timeliness of data. It reduces the printing, storage and maintenance costs of paper documents, while reducing potential costs caused by data loss or errors. Electronic ledgers facilitate data sharing between different teams or departments and promote cross-team collaboration. The system supports regular data backup, which can be quickly restored even if data loss occurs, ensuring the continuity and integrity of the data.

[0032] By implementing the present invention, the electronic management of ledgers not only solves the various limitations of traditional storage methods, but also facilitates real-time supervision and inspection of the work progress of each team, which significantly improves management efficiency and reduces operating costs, while also enhancing data security and the modernization level of team management.

[0033] (2) The unintuitive nature of the logical association of ledgers

[0034] Solution: By integrating NLP technology, the system can intelligently analyze text information within the team, such as work logs and meeting records, automatically extract key information, and realize automatic classification and induction of information. The application of NLP technology is the key to the intelligence of this system. It converts unstructured text information into structured data through natural language processing technology, and generates charts through data visualization technology, such as personnel composition pie charts and development trend charts, to present complex data in an intuitive way, such as pie charts and development trend charts, to intuitively show the rules and trends of team operations, and provide a rich data source for the system. A logical association model is built inside the system, which can identify and display the relationship between different data, such as intuitively displaying the repeated content in the "thematic construction" and "six to team" modules through links or correlation annotations. This intelligent analysis and processing method provides data support for decision-making.

[0035] Technical effect: The present invention enhances the team members' understanding and execution efficiency of the ledger logic, and reduces operational errors caused by understanding deviations. Team members can intuitively understand the ledger content and logical relationships through the system, reducing misunderstandings and execution errors caused by unclear logic. Through intelligent search and classification, users can quickly locate the required information without manually searching in a large amount of text, thereby enhancing information search efficiency. Team leaders and decision makers can more accurately grasp the team's operating status based on clear and intuitive data charts, and formulate more reasonable management strategies and countermeasures. The logical association model within the system can identify and integrate duplicate information, avoid redundant records between different modules, reduce information duplication, and improve the efficiency and accuracy of data management. Through intuitive logical association display, new members can more quickly understand the team's workflow and key information, which promotes the dissemination and sharing of knowledge. The system's automated data processing and visual display ensure data consistency and reduce information deviations caused by human factors. The present invention not only solves the problem of unintuitive ledger logical association, but also improves the transparency and efficiency of the entire team management, providing a more scientific, standardized and efficient information management tool for civil aviation team construction.

[0036] (3) Inconsistency in team building records requirements

[0037] Solution: The system develops a series of standardized electronic ledger templates with built-in standardized processes and templates to provide unified recording and reporting formats for different teams, ensuring the uniformity and consistency of ledger management for different teams. Using rule engines and artificial intelligence technology, various team-specific entry rules and standards are automatically identified and applied according to the specific needs of different teams to ensure the consistency and accuracy of data collection. Provide dynamic interface configuration tools to provide a user-friendly interface that allows team managers to adjust and customize ledger requirements, adjust ledger templates and entry interfaces according to actual conditions. Through real-time data synchronization technology, ensure that all team members and management can access the latest ledger requirements and data updates and synchronize them to their workflows. Integrate online training and guidance systems, provide interactive tutorials and real-time feedback, help team members quickly understand and master unified ledger requirements, and help team members understand and master unified ledger requirements. Establish an audit and quality control system based on artificial intelligence to automatically detect the compliance of ledger records and provide real-time feedback and improvement suggestions to ensure that all ledger records meet unified standards and provide a feedback mechanism to continuously optimize ledger requirements. Develop a compliance check module to ensure that all ledger management activities comply with industry norms and legal and regulatory requirements. Build a data exchange and integration platform to achieve seamless integration with existing civil aviation business systems to ensure data consistency and integrity. Implement access control and authority management to ensure that only authorized personnel can access and modify ledger data to ensure data security.

[0038] Technical effect: The present invention unifies the standards for team building ledgers, improves the accuracy and reliability of data, and facilitates comparison and management across teams. The built-in rule engine reduces input errors and ensures the accuracy and reliability of data. The dynamic configuration interface allows teams to adjust ledger requirements according to specific circumstances, improving the flexibility of the system. The real-time update and synchronization mechanism reduces duplication of work and delays caused by inconsistent information. Online training materials and operating guides enable new members to quickly master ledger requirements, reducing training time and costs. The review and feedback mechanism ensures the quality of ledger records and promptly detects and corrects non-compliance with standards. Unified ledger requirements facilitate information sharing between different teams and improve information transparency across the organization. By collecting usage feedback, the system can continuously optimize ledger requirements to adapt to changing management needs. Ensure that the ledger management of all teams meets industry standards and regulatory requirements to reduce compliance risks.

[0039] Through these solutions, the technical solution of the present invention not only solves the problem of inconsistency in the requirements of the team construction ledger, but also improves the efficiency, accuracy and compliance of the entire team management process, while also providing support for continuous improvement and optimization.

[0040] (4) Difficulty and timeliness of supervision and inspection

[0041] Solution: The system is deployed on a cloud computing platform, which can provide elastic resources to ensure that performance is not affected during peak hours of supervision and inspection. Use big data technology to monitor and analyze the operation data of the team in real time to quickly identify abnormal patterns and potential problems. Combine process engine technology to automate the supervision and inspection process, including task allocation, execution, recording and feedback, to automate the supervision and inspection process. Through natural language processing technology, supervision and inspection reports are automatically generated to reduce the time and errors of manual writing. Through mobile applications and real-time notification systems, ensure that supervisors and inspectors can access information instantly and receive task updates. Design an intuitive user interface and use data visualization technology to create a dynamic dashboard to simplify the supervision and inspection process, provide supervisors and inspectors with an intuitive data view, and improve user operation efficiency and experience. Integrate predictive maintenance algorithms and risk assessment models to provide early warning of problems that affect supervision and inspection.

[0042] Technical effect: The elastic resources of the cloud computing platform based on the present invention ensure the continuous operation of the supervision and inspection system, and ensure the continuity and stability of supervision and inspection even under high load conditions. The use of big data analysis and predictive maintenance technology helps to accurately identify problems, reduce human omissions, and enhance the accuracy of supervision and inspection. Real-time data monitoring and automated report generation technology significantly improve the response speed to supervision and inspection issues. Dynamic dashboards provide management with powerful decision support tools to help them make data-based decisions quickly and enhance decision support. Automated and standardized supervision and inspection processes improve compliance across the organization and increase the transparency of workflows.

[0043] Through the integrated application of these key technologies, the technical solution of the present invention not only solves the difficulty and timeliness of supervision and inspection, but also improves the quality and efficiency of supervision and inspection, ensuring the high standards and high efficiency of civil aviation crew construction.

[0044] To sum up, the technical solution of the present invention not only solves the problems existing in the prior art by integrating and applying advanced information technology, but also brings a series of innovative technical effects, providing an efficient, intelligent and standardized management platform for civil aviation crew construction.

[0045] In summary, the key technical points and points to be protected of the present invention are mainly concentrated on the integration and application of NLP technology, big data analysis, cloud computing and process engine technology. The unique application and innovation of these technologies provide the system with significant competitive advantages and practical value.

[0046] Second, as auxiliary evidence of the inventiveness of the claims of the present invention, it is also reflected in the following important aspects:

[0047] (1) The expected benefits and commercial value of the technical solution of the present invention after transformation are:

[0048] Economic Benefits

[0049] Through automation and intelligent technology, the system has greatly reduced the team's manual input in information processing, data analysis, and decision-making, thereby reducing management costs.

[0050] By using NLP technology to intelligently analyze text information within the team, the system can quickly and accurately extract key data and provide precise support for management decisions. Big data analysis helps the team to explore operating rules, optimize management decisions, and further improve work efficiency.

[0051] The system uses cloud computing technology to ensure high availability and elastic expansion requirements of the system. It can be flexibly expanded as the business develops to meet growing management needs. It not only saves hardware and software investment costs, but also ensures the stable operation of the system.

[0052] Social Benefits

[0053] By managing the ledger through the online system, the team construction ledger can be lightweight and standardized, making team management more standardized and transparent. The implementation of this system will help improve the management level of aircraft maintenance and promote the healthy development of the civil aviation industry.

[0054] The intelligent and automated functions of the system help to grasp the key links of safe production, discover and solve problems in a timely manner, help reduce the accident rate, and ensure the safe operation of the civil aviation industry.

[0055] The innovative application of the system in the field of civil aviation maintenance has filled the gap in the industry and improved the overall information level of the industry. By introducing cutting-edge IT technologies such as NLP, big data analysis and cloud computing, the system provides strong support for technological innovation and industrial upgrading in the civil aviation industry.

[0056] (2) The technical solution of the present invention fills the technical gap in the industry at home and abroad:

[0057] The technical solution of the present invention fills the technical gap in the intelligent management of team building information in the domestic and foreign civil aviation industry by integrating and applying cutting-edge technologies. The following are the specific gaps filled and the innovative value it brings:

[0058] Intelligent text processing: Natural language processing technology is used to achieve intelligent analysis of team text information, filling the gap in traditional civil aviation team construction that relies on manual interpretation and processing of text information.

[0059] Real-time big data analysis: Apply big data analysis technology to conduct real-time monitoring and trend prediction of team operation data, solving the needs of civil aviation team construction and operation for real-time data processing and analysis.

[0060] Application of cloud computing in civil aviation crew management: Through cloud computing technology, a high-availability and elastically scalable team management platform is provided, meeting the needs of civil aviation crew construction for system stability and flexibility.

[0061] Process automation and standardization: Using process engine technology to automate team management processes improves process efficiency and reduces human errors. This is a major innovation in process management in the civil aviation crew construction industry.

[0062] Risk prediction and management: The integrated risk prediction model and dynamic risk grading system provide a new solution for civil aviation crews to identify and respond to potential risks in advance.

[0063] Data visualization and decision support: Data visualization technology is used to provide intuitive data support for team management and decision-making, enhancing the scientific nature and accuracy of decision-making.

[0064] Optimization of user experience: The use of advanced UI / UX design concepts has improved the system's usability and employee satisfaction, and improved the user experience of the civil aviation crew construction information system.

[0065] Information sharing and collaboration across teams: Promotes information sharing and collaboration between different teams and improves collaborative work efficiency.

[0066] Continuous improvement and adaptive learning: The system has adaptive learning capabilities and can continuously optimize based on feedback, meeting the needs of civil aviation crew construction for the continuous evolution of the management system.

[0067] Through these innovations, the technical solution of the present invention not only improves the intelligence and automation level of civil aviation crew construction, but also enhances the safety management and operational efficiency of civil aviation crew construction, bringing technological progress and value to the civil aviation industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a structural diagram of an intelligent management system for civil aviation crew construction information provided by an embodiment of the present invention;

[0069] Figure 2 It is a flow chart of the intelligent management method of civil aviation crew construction information provided by an embodiment of the present invention;

[0070] Figure 3 It is a schematic diagram of a login interface of an intelligent management system for civil aviation crew construction information provided by an embodiment of the present invention;

[0071] Figure 4 It is a schematic diagram of writing a civil aviation crew construction information intelligent management program provided by an embodiment of the present invention;

[0072] Figure 5 It is a schematic diagram of an implementation case provided by an embodiment of the present invention.

[0073] Figure 6 It is a schematic diagram of dynamic team member capability and style evaluation provided by an embodiment of the present invention;

[0074] Figure 7 is a schematic diagram of a customized risk grading system provided by an embodiment of the present invention;

[0075] Figure 8 is a schematic diagram of login history tracking provided by an embodiment of the present invention;

[0076] Fig. 9 is a schematic diagram of a team interface provided by an embodiment of the present invention;

[0077] Fig.10 It is a detailed structural diagram of the intelligent management system for civil aviation crew construction information provided by an embodiment of the present invention.

[0078] In the figure: 1. Intelligent management module; 2. Efficient operation module; 3. Standardized management module; 4. User experience optimization module. DETAILED DESCRIPTION

[0079] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0080] like Figure 1 The intelligent management system for civil aviation crew construction information provided by the embodiment of the present invention includes:

[0081] Intelligent management module 1, using natural language processing (NLP) technology, the system can intelligently analyze text information within the team, including work logs, meeting records, and automatically classify, summarize, and extract key information; through big data analysis technology, the system can deeply explore the rules and trends of team operations, including production efficiency and equipment failure rate, to help team leaders predict potential problems and formulate response strategies in advance; grasp the deep-level rules of team operations and provide a scientific basis for optimizing management. Through data visualization technology, including personnel composition pie charts and development trend charts, provide intuitive and comprehensive data support for team leaders;

[0082] Efficient operation module 2 uses cloud computing technology to ensure high availability and elastic expansion of the system. Even during peak hours or emergencies, the system can maintain stable operation and meet the real-time needs of team management. The application of process engine technology enables automation and standardization of team management processes, reduces manual intervention, reduces error rates, and improves work efficiency.

[0083] Standardized management module 3, focusing on basic management, grassroots construction and basic skills training, ensures that team management is in standardized and systematic operation; through workflow modeling and automated scheduling mechanism, the system supports customized workflow to ensure the standardization and consistency of team work;

[0084] User Experience Optimization Module 4 adopts advanced UI / UX design concepts, combined with dynamic interaction and responsive design technologies. The system interface is intuitive and easy to understand, and easy to operate, allowing team members to quickly get started and reduce training costs. Through user-friendly interface design and interactive experience, it increases employees' enthusiasm and satisfaction in using the system, further improving the overall effectiveness of team management.

[0085] The intelligent management module is the core part of the system. Through natural language processing technology, the system can automatically parse various text information within the team, including work logs, meeting records, etc. The specific implementation is to automatically classify, summarize and extract key information from a large amount of text information through text classification and information extraction algorithms to help team leaders quickly grasp the team dynamics. The application of big data analysis technology enables the system to deeply explore the laws and trends of team operations, such as changes in production efficiency and statistics on equipment failure rates. These data provide scientific decision-making support for team leaders.

[0086] The efficient operation module uses cloud computing technology to ensure high availability and elastic expansion of the system. Through the distributed architecture design of cloud computing, the system can maintain stable operation even during peak hours or emergencies, meeting the real-time needs of team management. In addition, the application of process engine technology makes the team management process automated and standardized, reducing manual intervention, reducing error rates, and improving work efficiency. The automated process can not only reduce repetitive work, but also ensure the correctness and consistency of each step of the operation through preset rules and processes.

[0087] The standardized management module focuses on basic management, grassroots construction and basic skills training to ensure the standardized and systematic operation of team management. Through workflow modeling and automated scheduling mechanisms, the system supports customized workflows. Team leaders can create and adjust workflows according to actual needs to ensure the standardization and consistency of team work. This flexible process management can not only adapt to different management needs, but also help new employees quickly adapt to and integrate into team work through predefined templates and rules.

[0088] The user experience optimization module adopts advanced UI / UX design concepts, combined with dynamic interaction and responsive design technology, to ensure that the system interface is intuitive, easy to understand and easy to operate. The system interface has a clear layout and friendly interactive design, allowing team members to quickly get started and reduce training costs. In addition, through user-friendly interface design and interactive experience, the system improves employees' enthusiasm and satisfaction in using the system, and further improves the overall effectiveness of team management. Intuitive data display and concise operation procedures enable employees to easily complete various tasks and improve work efficiency.

[0089] In the intelligent management module, the application of data visualization technology provides intuitive and comprehensive data support for team leaders. The system can generate a variety of charts, including personnel composition pie charts, development trend charts, etc. Through these charts, team leaders can understand the various data indicators of the team at a glance. For example, through the personnel composition pie chart, the team leader can clearly see the distribution of personnel in the team; through the development trend chart, the changing trend of production efficiency and equipment failure rate can be intuitively understood. These visualized data analyses provide strong support for the decision-making of team leaders.

[0090] Through big data analysis and machine learning technology, the system can conduct in-depth analysis of various data on team operations, grasp the deep-level laws of team operations, and provide a scientific basis for optimized management. The system can predict potential problems, such as equipment failures and fluctuations in production efficiency, and provide early warning information to team leaders in advance. Team leaders can formulate response strategies in advance based on these predictions and warning information to avoid problems or minimize their impact. This prediction and warning function greatly improves the foresight and initiative of team management and ensures the efficiency and stability of team operations.

[0091] like Fig.10 As shown, the present invention specifically implements:

[0092] 1. Intelligent management module

[0093] Natural Language Processing Subsystem:

[0094] Text parsing engine: Use pre-trained NLP models and custom dictionaries to deeply parse texts such as work logs and meeting minutes within the team to identify key entities, relationships, and events.

[0095] Information classification and summarization: Based on the results of text analysis, unsupervised learning or supervised learning algorithms are used to automatically classify text information into different topics or categories, and summarize the core ideas and key information of each type of information.

[0096] Knowledge graph construction: Integrate the parsed entities, relationships, and events into a knowledge graph to help team leaders quickly understand the relationship network and event context within the team.

[0097] Big data analysis subsystem:

[0098] Data source integration: Collect data from various data sources and integrate them into the big data platform through the ETL process.

[0099] Data mining and analysis: Use statistical analysis, machine learning (such as random forests, neural networks) and deep learning techniques to conduct in-depth mining of the integrated data to discover the patterns and trends of team operations, such as cyclical changes in production efficiency.

[0100] Data visualization subsystem:

[0101] Visualization tools: Select visualization tools suitable for big data presentation and design intuitive and easy-to-understand chart templates.

[0102] Customized view: According to the needs of team leaders, a customized pie chart of personnel composition is generated, supporting multi-dimensional and multi-time scale data display.

[0103] Enhanced interactivity: Add linkage, filtering and drilling functions between charts, allowing team leaders to deeply explore the information behind the data through interactive operations.

[0104] 2. Efficient operation module

[0105] Cloud computing platform deployment:

[0106] Elastic cloud resources: Dynamically adjust computing resources (CPU, memory), storage resources, and network resources according to system load and access volume to ensure stable operation of the system under high concurrency and emergency situations.

[0107] High-availability architecture design: Use load balancing, redundant deployment, automatic failover and other technologies to improve the system's availability and fault tolerance.

[0108] Process engine implementation:

[0109] Process definition tool: Provides a visual process definition tool that allows team leaders or system administrators to define team management processes by setting conditional logic, etc.

[0110] Automated execution: The process engine automatically performs tasks such as task allocation, progress tracking, and notification reminders based on defined process rules, reducing manual intervention.

[0111] Process monitoring and optimization: Real-time monitoring of process execution status, providing process performance indicators (such as execution time, success rate) and exception handling mechanisms, and supporting continuous optimization of processes.

[0112] 3. Standardized management module

[0113] Basic management framework:

[0114] System standardization: formulate basic systems and norms for team management, and clarify the responsibilities, work processes and assessment standards of each position.

[0115] Information support: embed systems and norms into the system and enforce them through the system to reduce human errors and illegal operations.

[0116] Customized workflow: Supports team leaders to customize workflows according to actual needs, including task types, execution order, approval links, etc.

[0117] Automated Scheduling Engine: Automatically schedule resources, assign tasks, and track progress based on the workflow and current task status to ensure that work proceeds in an orderly manner as planned.

[0118] 4. User experience optimization module

[0119] UI / UX Design:

[0120] Interface design principles: Follow the principles of simplicity, consistency, feedback and accessibility to design an intuitive and easy-to-use user interface.

[0121] Personalized customization: Provides a personalized settings interface, allowing users to adjust the interface layout, theme color, etc. according to their preferences and habits.

[0122] Front-end technology: Use HTML5, CSS3, JavaScript and other front-end technologies to build user interfaces and support cross-browser access.

[0123] Dynamic interaction: Use Ajax, WebSocket and other technologies to achieve partial page refresh and real-time data interaction to improve user experience.

[0124] Responsive design: Adopt responsive design techniques such as media query and elastic layout to ensure the good display of the system on different devices and screen sizes.

[0125] Data analysis and improvement: Analyze user feedback data, identify system problems and improvement points, and continuously optimize system functions and user experience.

[0126] The following is a detailed description of the signal and data processing process of the four modules of the civil aviation crew construction information intelligent management system:

[0127] 1) Signal and data processing of intelligent management module:

[0128] The intelligent management module first uses natural language processing technology to automatically parse text information within the team, such as work logs and meeting minutes. In this process, the system can identify key information in the text and automatically classify, summarize and refine it. Subsequently, through big data analysis technology, the system deeply explores the rules and trends of team operations, such as key indicators such as production efficiency and equipment failure rate. These analysis results provide team leaders with the ability to predict potential problems and formulate response strategies in advance. Finally, data visualization technology is used to generate personnel composition pie charts and development trend charts to provide team leaders with intuitive and comprehensive data support so that they can make more informed decisions.

[0129] 2) Efficient signal and data processing of operation modules:

[0130] The efficient operation module uses cloud computing technology to ensure high availability and elastic expansion of the system. When the system faces peak hours or emergencies, cloud computing resources can be automatically adjusted to ensure that the system remains stable and meets the real-time needs of team management. In addition, the application of process engine technology realizes the automation and standardization of team management processes. In this process, the system can automatically execute the preset workflow, reduce manual intervention, thereby reducing the error rate and improving work efficiency. Through these technical means, the efficient operation module provides strong technical support for team management.

[0131] 3) Signal and data processing of standardized management modules:

[0132] The standardized management module focuses on basic management, grassroots construction and basic skills training to ensure the standardized and systematic operation of team management. At the system level, this module supports customized workflows through workflow modeling technology, so that team work can be performed in accordance with established specifications and standards. At the same time, the automated scheduling mechanism ensures that all tasks can be completed on time and in order, further improving the standardization and consistency of team work. Through these functions, the standardized management module builds a rigorous and efficient working environment for the team.

[0133] 4) Signal and data processing of user experience optimization module:

[0134] The user experience optimization module adopts advanced UI / UX design concepts, combined with dynamic interaction and responsive design technology, to create an intuitive, easy-to-understand and convenient system interface. In this process, the system can respond to user input and operation in real time, providing a smooth and natural interactive experience. At the same time, through user-friendly interface design and interactive experience, the module improves employees' enthusiasm and satisfaction in using the system. These optimization measures not only reduce employee training costs, but also improve the overall efficiency of team management.

[0135] like Figure 2The intelligent management method of civil aviation crew construction information provided by the embodiment of the present invention includes:

[0136] S1, using natural language processing technology, the system can intelligently analyze text information within the team, including work logs and meeting records, automatically classify, summarize and extract key information; through big data analysis technology, the system can deeply explore the rules and trends of team operations, including production efficiency and equipment failure rate, to help team leaders predict potential problems and formulate response strategies in advance; grasp the deep-level rules of team operations and provide a scientific basis for optimizing management. Through data visualization technology, including personnel composition pie charts and development trend charts, provide intuitive and comprehensive data support for team leaders;

[0137] S2, using cloud computing technology to ensure the high availability and elastic expansion of the system. Even during peak hours or emergencies, the system can maintain stable operation and meet the real-time needs of team management. The application of process engine technology enables the automation and standardization of team management processes, reduces manual intervention, reduces error rates, and improves work efficiency.

[0138] S3, focusing on basic management, grassroots construction and basic skills training, ensures that team management is in standardized and systematic operation; through workflow modeling and automated scheduling mechanism, the system supports customized workflow to ensure the standardization and consistency of team work;

[0139] S4 adopts advanced UI / UX design concepts, combined with dynamic interaction and responsive design technology. The system interface is intuitive and easy to understand, and easy to operate, allowing team members to quickly get started and reduce training costs. Through user-friendly interface design and interactive experience, it increases employees' enthusiasm and satisfaction in using the system, further improving the overall efficiency of team management.

[0140] When implementing the team building information system of the present invention, the present invention follows the following specific implementation method to ensure that the system can give full play to its advantages of intelligence, efficiency, standardization and user-friendly experience.

[0141] 1. System construction and initialization

[0142] First, the present invention will build a distributed system architecture based on cloud computing according to the actual needs of team management. By building a high-performance server cluster and storage system, the high availability and elastic expansion capability of the system are ensured. At the same time, the database and data warehouse are initialized to store and manage the relevant data of team management.

[0143] 2. Technology Integration and Functional Realization

[0144] 1. Natural Language Processing (NLP) technology integration: This invention will integrate advanced NLP processing libraries to enable the system to intelligently parse text information within the team. By training and optimizing the NLP model, the system can automatically classify, summarize and refine key information, providing real-time and accurate decision support for team leaders and management.

[0145] 2. Implementation of big data analysis function: Using big data analysis tools, the present invention will conduct in-depth mining and analysis of team operation data. By building a data analysis model, the system can discover the laws and trends of team operation, predict potential problems, and formulate response strategies in advance. In addition, the system will also provide visual data analysis tools, such as personnel composition pie charts, development trend charts, etc., to help team leaders intuitively understand the overall situation and development trends of the team.

[0146] 3. Application of cloud computing technology: The present invention will make full use of the advantages of cloud computing technology to ensure the high availability and elastic expansion capability of the system. Through the cloud computing platform, the system can automatically allocate resources to meet the real-time needs during peak hours or emergencies. At the same time, cloud computing technology can also reduce the operation and maintenance costs of the system and improve the reliability of the system.

[0147] 4. Application of process engine technology: In order to realize the automation and standardization of team management process, the present invention will introduce process engine technology. Through workflow modeling and automated scheduling mechanism, the system can support customized workflow and ensure the standardization and consistency of team work. This will greatly reduce manual intervention and error rate and improve work efficiency.

[0148] 3. Implementation of Standardized Management

[0149] During the implementation of the system, the present invention will focus on the construction of "three basics" as the core strategy to ensure the standardized and systematic operation of team management. Specific practices include:

[0150] 1. Formulate standardized management processes and standards: According to the actual needs of team management, the present invention will formulate a set of standardized management processes and standards. These processes and standards will cover all aspects of team work to ensure the standardization and consistency of team work.

[0151] 2. Introducing workflow modeling and automated scheduling mechanism: Through workflow modeling and automated scheduling mechanism, the present invention will customize suitable workflows according to the actual needs of team management and ensure their standardization and consistency.

[0152] 4. User experience optimization

[0153] In order to improve the user experience and satisfaction, the present invention will adopt advanced UI / UX design concepts to optimize the system interface. The specific methods include:

[0154] 1. Intuitive and easy-to-understand interface design: The present invention will adopt a simple and clear interface design style to ensure that users can quickly get started with the system and understand its functions.

[0155] 2. Dynamic interaction and responsive design: By introducing dynamic interaction and responsive design technology, the system will be more flexible and easy to use. Users can personalize and adjust according to their needs.

[0156] 3. Provide user-friendly operation guide documents: In order to reduce training costs and improve user efficiency, the present invention will provide detailed operation guide documents for user reference and use.

[0157] like Figure 3 FIG. 1 is a schematic diagram of a login interface for intelligent management of civil aviation crew construction information provided by an embodiment of the present invention; Figure 4 The figure shows a schematic diagram of program writing provided by an embodiment of the present invention.

[0158] like Figure 5 The figure shows a schematic diagram of an implementation case provided by an embodiment of the present invention. Currently, a total of 138 teams in the engineering maintenance system of Sichuan Airlines Co., Ltd. have begun to use the system, and have fully experienced the convenience, efficiency and intelligence of the system during the use process.

[0159] An application embodiment of the present invention provides a computer device, which includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor executes the steps of the intelligent management method of civil aviation crew construction information.

[0160] The application embodiment of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the intelligent management method of civil aviation crew construction information.

[0161] An application embodiment of the present invention provides an information data processing terminal, which includes an intelligent management system for civil aviation crew construction information.

[0162] Application Example 1: Sichuan Airlines Team Building Information System

[0163] Sichuan Airlines needs an intelligent system to improve the efficiency, standardization and quality of team building. The existing team management relies on scattered paper records and non-uniform electronic forms, which makes it difficult to share information, update in a timely manner and have low management efficiency.

[0164] Demand analysis: Get a detailed understanding of the specific needs of team management, including data collection, process monitoring, report generation, etc.

[0165] System customization and development: The intelligent team building information system of the present invention is developed to meet the specific needs of Sichuan Airlines.

[0166] Design a user-friendly interface and ensure compatibility with the airline's existing IT infrastructure.

[0167] Data Migration and Integration: Convert existing paper and electronic data into electronic format and migrate to the new system. Integrate data from different sources to ensure data consistency and integrity.

[0168] Employee training and support: Provide system operation training to the company's team members. Provide online and offline user manuals to ensure that employees can use the system proficiently.

[0169] Process Automation: Utilize process engine technology to automate key processes of team management, such as task allocation, progress tracking, and quality inspection.

[0170] Real-time monitoring and reporting: Utilize big data analysis technology to monitor the operation of the team in real time, identify problems in a timely manner and generate reports.

[0171] Supervision and inspection optimization: optimize the supervision and inspection process, reduce paper records, and improve the efficiency and accuracy of supervision and inspection.

[0172] Continuous improvement: Continuously improve system functions and user experience based on user feedback and system usage.

[0173] 3. Technical Effect

[0174] Improve data management efficiency: Electronic ledgers reduce the management cost and time of paper documents and increase the speed of data retrieval and update.

[0175] Enhanced information sharing and transparency: The centralized system makes information sharing easier and improves the transparency of team management.

[0176] Improved decision support: Real-time monitoring and data analysis provide management with accurate decision support, helping them respond quickly to various situations.

[0177] Optimize supervision and inspection: Automated supervision and inspection processes reduce human errors and improve the consistency and reliability of inspections.

[0178] Enhanced user experience: The user-friendly interface and simplified operation process improve employee satisfaction and reduce training costs.

[0179] Support continuous improvement: The system design allows for continuous optimization and upgrading based on user feedback and business development.

[0180] Improve safety standards: Through standardized team management processes, the safety management level of the entire airline has been improved.

[0181] Environmentally friendly: Reduces reliance on paper documents and complies with the green and environmentally friendly office concept.

[0182] Through the present invention, Sichuan Airlines can realize the modernization of team building management, improve management efficiency and quality, and provide better work experience and decision-making support for team management.

[0183] like Figure 6 As shown in the figure, the dynamic team member ability and style assessment, the present invention is committed to creating a comprehensive, flexible and adaptable module to achieve accurate and continuous assessment of team member ability and style. This module not only focuses on the current performance of members, but also emphasizes the assessment of their potential and sustainable development, ensuring the two-way improvement of the overall effectiveness of the team and individual growth.

[0184] The core of this module is its dynamic characteristics, which can reflect the actual performance of team members at work in real time and continuously adjust the evaluation criteria and methods based on feedback data. By introducing advanced data analysis technology, the present invention can more accurately capture the changes of members in multiple dimensions such as ability, attitude, and teamwork, providing strong support for the optimization of the team and the personalized development of members.

[0185] In terms of evaluating capabilities and work styles, this module uses dynamic multi-dimensional evaluation indicators. By setting clear evaluation standards and quantitative indicators for each team and team members at each work stage, the present invention can evaluate the performance of members more objectively and fairly, and can also formulate more effective training and incentive measures for team leaders and management based on the evaluation results, thus promoting the overall development of the team and the rapid growth of members.

[0186] like Figure 7 As shown, in order to more effectively manage and respond to potential risks, the present invention introduces a customized risk grading system. Based on the nature, impact and occurrence of risks, the system divides risks into three different areas: red zone, orange zone and yellow zone, and provides a historical query function for reference.

[0187] Red Zone (High Risk):

[0188] The Red Zone represents an extremely high risk level, covering risks that are highly likely to occur and would cause significant losses or impacts if they occur. These risks require immediate action and the highest level of resources and attention.

[0189] Orange Zone (Medium to High Risk):

[0190] The orange zone indicates medium to high risk, covering those risks that are more likely to occur or will have a greater impact if they occur. For these risks, detailed response strategies need to be developed and their dynamics need to be continuously monitored.

[0191] Yellow Zone (low risk):

[0192] The yellow zone represents a lower risk level and generally includes risks that are less likely to occur or would not cause much impact if they occur. Nevertheless, vigilance is still required and risk assessment and monitoring should be performed regularly.

[0193] Historical Query:

[0194] In order to facilitate the review and analysis of past risk points, the present invention sets up a historical query function. Through this function, users can query past risk records to provide reference and lessons for future risk management

[0195] like Figure 8 FIG. 1 is a schematic diagram of a login history tracking method according to an embodiment of the present invention; Fig. 9 Shown is a schematic diagram of a team interface provided by an embodiment of the present invention.

[0196] Example 1: Intelligent management application of civil aviation airport ground handling team

[0197] The ground handling team of a large international airport is responsible for key tasks such as aircraft maintenance, cargo loading and unloading, and passenger services. Under the traditional management model, the information processing efficiency of work logs, meeting minutes, etc. is low, and it is difficult to accurately predict and respond to potential problems, such as frequent equipment failures and uneven allocation of human resources.

[0198] 1) Intelligent management module:

[0199] Using natural language processing technology, the work logs and meeting minutes of ground crew teams can be automatically parsed to quickly classify, summarize and extract key information, such as equipment maintenance records and personnel attendance.

[0200] Through big data analysis technology, we deeply mine team operation data, identify the time periods and causes of frequent equipment failures, predict production efficiency fluctuations, provide early warning information to team leaders, and recommend optimized scheduling and equipment maintenance plans.

[0201] Data visualization generates pie charts of personnel composition, equipment failure rate trend charts, etc., which intuitively display team status and assist in decision-making.

[0202] 2) Efficient operation module:

[0203] Deploy a cloud computing platform to ensure high system availability and elastic expansion, and support stable operation during peak hours and emergencies.

[0204] Utilize process engine technology to automate team management processes, such as automatically assigning work tasks and tracking task progress, to reduce manual intervention and improve efficiency.

[0205] 3) Standardized management module:

[0206] Establish a standardized workflow model covering basic management, grassroots construction and basic skills training to ensure the standardization and consistency of ground work.

[0207] Customize workflows, such as equipment inspection and emergency handling, and use automated scheduling mechanisms to ensure that each step is completed on time and with quality.

[0208] 4) User experience optimization module:

[0209] It adopts advanced UI / UX design to create an intuitive and easy-to-understand system interface, supports dynamic interaction and responsive design, and adapts to access from different devices.

[0210] Provide user-friendly operation guides and training materials to reduce employee learning costs and increase enthusiasm for system use.

[0211] After implementing the system, the work efficiency of ground handling teams has been significantly improved, the equipment failure rate has been reduced, and human resources have been more reasonably allocated. At the same time, team leaders can make more scientific decisions based on data analysis results to ensure efficient and stable airport operations.

[0212] Example 2: Intelligent monitoring application for civil aviation maintenance personnel skill qualification management

[0213] With the development of the civil aviation industry, the skill qualification level of civil aviation maintenance personnel has become an important part of ensuring aircraft safety. The traditional team personnel qualification management method relies on regular sorting and manual recording, which makes it difficult to monitor the changes in the qualifications of maintenance personnel in real time, and data analysis is insufficient.

[0214] 1) Intelligent management module:

[0215] Integrate team personnel file information data, such as personnel information, personnel qualifications and other data information, use natural language processing technology to automatically parse and classify, and extract key information to form a pie chart.

[0216] Through big data analysis and machine learning algorithms, we conduct in-depth analysis of on-site monitoring data results to predict potential safety trends and factors with high risks, and provide early warning information for safe operations.

[0217] Data visualization generates personnel work style portraits, which directly display the work and mental state of team members and assist in formulating personalized personnel coaching plans.

[0218] 2) Efficient operation module:

[0219] Cloud computing technology is used to ensure high availability and real-time data processing capabilities of the team skill training system, and to support training effect verification and feedback.

[0220] 3) Standardized management module:

[0221] Establish a standard process for entering information into team records, including daily work logs, task risk assessments, risk warnings, personnel qualifications, etc., to ensure standardized management.

[0222] 4) User experience optimization module:

[0223] The PC application interface is designed to be concise and clear, supporting one-click uploading of various data records to reduce the complexity of operation.

[0224] Provide personalized team building and improvement plans to enhance each team's dependence on and satisfaction with the system.

[0225] After implementing this system, the management of the team's ledger system has become more scientific and efficient, potential ledger problems have been discovered and resolved in a timely manner, and the team's work efficiency has been effectively improved.

[0226] A specific embodiment of the present invention: Application of an intelligent management system for civil aviation crew construction information of an airline company

[0227] In a certain large airline company, the daily management tasks of the team are heavy and complicated. In order to improve the management efficiency and quality of the team, the company decided to introduce the intelligent management system for civil aviation team construction information provided by the present invention. The following is a specific embodiment of the system in practical application.

[0228] 1. Application of intelligent management module

[0229] Text information analysis and extraction: In the daily work of the team, a large number of work logs and meeting records are generated. Through the intelligent management module, the system can automatically analyze these text information, and automatically classify, summarize and extract key work content, such as important task progress, meeting decisions and equipment maintenance matters that need attention. These extracted key information will automatically generate reports and push them to team leaders and relevant managers to help them quickly understand the current status of team operations.

[0230] Data analysis and prediction: Using big data analysis technology, the system regularly analyzes the team's operating data, such as production efficiency, equipment failure rate, and employee attendance rate. Through these data analyses, the system can identify potential problems in the team's operation, such as a high probability of equipment failure or a shift's production efficiency that is consistently below the standard. Based on these predicted data, the team leader can formulate response strategies in advance, such as arranging equipment maintenance or adjusting staffing, to avoid problems.

[0231] Data visualization support: The system generates data visualization reports, including pie charts of team members, development trend charts of team production efficiency, etc. These visualization data are integrated into the team management dashboard, which the team leader can view at any time and make corresponding management decisions based on the chart data.

[0232] 2. Application of efficient operation module

[0233] Cloud computing technology ensures high system availability: During the peak operating hours of airlines, the team management system will face a large number of data processing and operation requests. The efficient operation module uses cloud computing technology to ensure that the system can still maintain stable operation under high load conditions. At the same time, the module also supports elastic expansion and can dynamically adjust system resources according to actual needs to avoid slow system response due to traffic surges.

[0234] Process engine technology realizes automated management: The daily work process of the team, including personnel scheduling, task allocation and equipment inspection, is automated through the process engine technology embedded in the system. For example, when a task is marked as completed, the system will automatically trigger the subsequent work process, such as notifying relevant personnel to perform the next operation. This automated process management reduces the manual operation of the team leader and improves the overall work efficiency of the team.

[0235] 3. Application of standardized management module

[0236] Customized workflows ensure standardized management: In the airline, different teams have different work characteristics and needs. The standardized management module of the system allows teams to customize workflows according to their own characteristics. For example, a team places special emphasis on the daily maintenance of equipment. They can establish a standardized workflow for equipment maintenance in the system and set up an automated scheduling mechanism to ensure that all maintenance work is carried out as planned to avoid omissions.

[0237] Grassroots construction and basic skills training: The system supports standardized management of grassroots construction. Team leaders can set team training plans through the system and monitor the progress and effect of training. All training data will be recorded in the system for subsequent management and review.

[0238] 4. Application of user experience optimization module

[0239] Intuitive user interface design: The system's user interface adopts advanced UI / UX design concepts, and all functional modules are reasonably laid out and easy to understand. For example, the dashboard on the system homepage can directly display the key indicators of the team, and employees can quickly enter the functional modules they need through simple operations.

[0240] Dynamic interaction and responsive design: The system interface supports dynamic interaction design. When employees access the system on different devices (such as desktops, tablets or mobile phones), the interface will automatically adjust the layout to ensure the best user experience. In addition, the system also supports real-time prompts and feedback functions. When an employee completes an operation, the system will immediately give a confirmation prompt, which enhances the user's operating experience.

[0241] Improve employee enthusiasm: The system is not only easy to operate, but also provides a variety of personalized setting options. Employees can customize the system interface according to their personal habits. In addition, the system also regularly launches operation guides and usage tips to improve employees' familiarity with the system, reduce training time and costs, and further improve the overall efficiency of team management.

[0242] Through the above-mentioned embodiments, the airline company has successfully utilized the civil aviation crew construction information intelligent management system to realize the intelligent, efficient and standardized team management, which has significantly improved the team management level and operational efficiency.

[0243] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. A person of ordinary skill in the art will appreciate that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVDROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0244] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered by the protection scope of the present invention.

Claims

1. An intelligent management system for civil aviation crew construction information, characterized in that: Integrate natural language processing, big data analysis, cloud computing, process engine and UI / UX design technologies to achieve intelligent, efficient, standardized team management and optimized user experience; the system's intelligent management module uses NLP technology to parse text information, build knowledge graphs, and mine team operation rules through big data analysis to generate visual charts; the efficient operation module uses the cloud computing platform to ensure the availability and elastic expansion of the system, and automatically executes the management process through the process engine; The standardized management module supports customized workflow and automated scheduling to ensure the standardization of team management; The user experience optimization module adopts advanced UI / UX design concepts, provides dynamic interaction and responsive design, and improves user experience.

2. The intelligent management system for civil aviation crew construction information according to claim 1 is characterized in that: include: The intelligent management module uses natural language processing technology to automatically analyze text information within the team, including work logs and meeting minutes, and automatically classify, summarize and extract key information; Through big data analysis technology, we can deeply explore the rules and trends of team operations, including production efficiency and equipment failure rate, to help team leaders predict potential problems and formulate response strategies in advance; Generate personnel composition pie charts and development trend charts through data visualization technology; The efficient operation module uses cloud computing technology to ensure high availability and elastic expansion of the system. Even during peak hours or emergencies, the system can maintain stable operation and meet the real-time needs of team management. The process engine technology is used to automate and standardize the team management process. The standardized management module focuses on basic management, grassroots construction and basic skills training to ensure the standardized and systematic operation of team management; Through workflow modeling and automated scheduling mechanisms, it supports customized workflows to ensure the standardization and consistency of team work; User experience optimization module, which adopts advanced UI / UX design concepts and combines dynamic interaction and responsive design technologies; Through user-friendly interface design and interactive experience; Wherein, the intelligent management module includes: Natural Language Processing Subsystem: Text parsing engine: Use pre-trained NLP models and custom dictionaries to deeply parse the work logs and meeting minutes within the team to identify key entities, relationships, and events; Information classification and summarization: Based on the results of text analysis, unsupervised learning or supervised learning algorithms are used to automatically classify text information into different topics or categories, and summarize the core ideas and key information of each type of information; Knowledge graph construction: Integrate the parsed entities, relationships, and events into a knowledge graph to help team leaders quickly understand the relationship network and event context within the team; Big data analysis subsystem: Data source integration: Collect data from various data sources and integrate them into the big data platform through the ETL process; Data mining and analysis: Utilize statistical analysis, machine learning, and deep learning techniques to conduct in-depth mining of the integrated data to discover the laws and trends of team operations, such as cyclical changes in production efficiency; Data visualization subsystem: Visualization tools: Select visualization tools suitable for big data presentation and design intuitive and easy-to-understand chart templates; Customized view: Customized personnel composition pie charts are generated according to the needs of team leaders, supporting multi-dimensional and multi-time scale data display; Enhanced interactivity: Add linkage, filtering and drilling functions between charts, allowing team leaders to deeply explore the information behind the data through interactive operations; The efficient operation module includes: Cloud computing platform deployment: Elastic cloud resources: dynamically adjust computing resources, storage resources, and network resources based on system load and traffic; High availability architecture design: using load balancing, redundant deployment, and automatic failover technology; Process engine implementation: Process definition tool: Provides a visual process definition tool that allows team leaders or system administrators to define team management processes by setting conditional logic; Automated execution: The process engine automatically performs task allocation, progress tracking, and notification reminder operations according to the defined process rules; Process monitoring and optimization: real-time monitoring of process execution status, providing process performance indicators and exception handling mechanisms, and supporting continuous process optimization; The standardized management module includes: Basic management framework: System standardization: formulate basic systems and norms for team management, clarify the responsibilities, work processes and assessment standards of each position; Information support: embed systems and norms into the system and enforce them through the system to reduce human errors and illegal operations; Customized workflow: Support team leaders to customize workflows according to actual needs, including task types, execution order, and approval links; Automated scheduling engine: automatically schedules resources, assigns tasks, and tracks progress based on the workflow and current task status; The user experience optimization module includes: UI / UX Design: Interface design principles: Follow the principles of simplicity, consistency, feedback and accessibility to design an intuitive and easy-to-use user interface; Personalized customization: Provides a personalized settings interface, allowing users to adjust the interface layout and theme color according to their preferences and habits; Front-end technology: Use HTML5, CSS3, and JavaScript front-end technologies to build user interfaces and support cross-browser access; Dynamic interaction: Use Ajax and WebSocket technologies to achieve partial page refresh and real-time data interaction to improve user experience; Responsive design: Use media query and elastic layout responsive design technology to ensure the system is well displayed on different devices and screen sizes; Data analysis and improvement: Analyze user feedback data, identify system problems and improvement points, and continuously optimize system functions and user experience.

3. The intelligent management system for civil aviation crew construction information according to claim 2 is characterized in that: The intelligent management module further uses big data analysis and machine learning technology to conduct in-depth analysis of various data on team operations, grasp the deep-seated rules of team operations, predict potential problems such as equipment failures and production efficiency fluctuations, provide early warning information to team leaders in advance, help team leaders formulate response strategies, and ensure efficient and stable team operations.

4. The intelligent management system for civil aviation crew construction information according to claim 2 is characterized in that: The data visualization technology includes generating a variety of charts to intuitively display various data indicators of the team; through these charts, the team leader can clearly understand the distribution of personnel in the team, the changing trend of production efficiency and the statistical results of equipment failure rate, thereby providing strong decision-making support for team management.

5. A method for intelligent management of civil aviation crew construction information that implements the intelligent management system for civil aviation crew construction information as claimed in claim 2, characterized in that: include: Use intelligent management modules to parse and analyze text information within the team, identify key information, and provide decision support through big data analysis and data visualization technology; Achieve high availability and elastic expansion of the system through efficient operation modules, and automate management processes using process engine technology; Ensure the standardization and consistency of team work through standardized management modules using workflow modeling technology and automated scheduling mechanisms; Through the user experience optimization module, UI / UX design concepts and dynamic interaction technology are adopted to provide an intuitive, easy-to-understand and convenient system interface.

6. The intelligent management method for civil aviation crew construction information according to claim 5 is characterized in that: The specific steps of the intelligent management module include: Use natural language processing technology to analyze text information within the team, such as work logs and meeting minutes, and automatically classify, summarize and extract key information; Through big data analysis technology, we deeply explore the rules and trends of team operations and generate pie charts of personnel composition and development trend charts.

7. The intelligent management method of civil aviation crew construction information according to claim 1 is characterized in that: The specific steps of the efficient operation module include: Use cloud computing technology to automatically adjust cloud computing resources during system peak hours or emergencies to ensure stable operation of the system; Through process engine technology, the team management process can be automated and standardized, reducing manual intervention and improving work efficiency.

8. The intelligent management method of civil aviation crew construction information according to claim 1 is characterized in that: The specific steps of the user experience optimization module include: Adopt advanced UI / UX design concepts, combined with dynamic interaction and responsive design technology; Respond to user input and operations in real time, providing a smooth and natural interactive experience; Improve employees' enthusiasm and satisfaction in using the system and reduce training costs.

9. A computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to execute the steps of the intelligent management method for civil aviation crew construction information as described in claim 5.

10. An information data processing terminal, comprising the intelligent management system for civil aviation crew construction information according to claim 1.

Images