An intelligent management system and method for civil aviation crew construction information

Abstract

The present 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 crew construction information, an intelligent management module that intelligently analyzes the text information within the crew, and through big data analysis technology, the system can deeply explore the laws and trends of crew operation; an efficient operation module that ensures the high availability and elastic expansion of the system, and the application of process engine technology enables the automation and standardization of crew management processes; a standardized management module that ensures the standardized and systematic operation of crew management; through workflow modeling and automated scheduling mechanisms, the system supports customizing work processes to ensure the standardization and consistency of crew work; a user experience optimization module that adopts UI / UX design concepts and combines dynamic interaction and responsive design technologies, with an intuitive and easy-to-understand system interface and convenient operation. Through user-friendly interface design and interactive experience, it improves the enthusiasm and satisfaction of employees in using the system.

Description

Technical Field

[0001] The present 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 crew construction information. Background Art

[0002] With the rapid development of the civil aviation industry, the number of registered crews has gradually increased. Crew construction work is the cornerstone of ensuring civil aviation safety production. As the basic production and management unit, the management efficiency of the crew is crucial for the overall safe and high-quality operation of the airline. However, traditional crew management methods often rely on manual operations and empirical judgments, and there are problems such as low efficiency, inaccurate decision-making, and non-standardized processes. Therefore, it has become an urgent need for crew construction work to optimize and improve crew management using modern technological means.

[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 methods for storing crew ledgers are mostly a combination of paper and electronic versions. This method not only occupies space but also has extremely low efficiency in searching, managing, and updating information. In addition, paper materials are easily lost or damaged, and the formats and storage methods of electronic materials also lack unity, resulting in inconvenience in information management.

[0006] (2) Non-intuitiveness of the logical association of the ledger

[0007] There are repetitions in content in modules such as "thematic construction" and "six arrivals at the crew" in crew construction. It is not easy to establish an effective logical association in traditional work, making it difficult for crew members to form a clear understanding and operation guidance when understanding and executing.

[0008] (3) Lack of unity in the requirements for crew construction ledgers

[0009] There are differences in the understanding of ledger requirements among different crews, especially the definitions of the entry standards and time nodes for some items are vague, which directly affects the quality and efficiency of crew construction.

[0010] (4) Difficulties and timeliness issues in supervision and inspection

[0011] Traditional crew supervision and inspection rely on the collection and copying of a large number 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 solution.

[0012] Therefore, when the work of team building is currently carried out by relying on the storage method of paper materials in the team, there will be problems such as data loss, easy confusion, low management efficiency, and poor logical relevance. In view of the deficiencies of the existing technology, the present invention proposes a solution for the civil aviation team building information system. The system aims to achieve the intelligentization, high efficiency, and standardization of team management by means of modern scientific and technological means such as artificial intelligence, big data, cloud computing, and process engine technology. Specifically, through natural language processing (NLP) technology, the system can achieve intelligent parsing and classification of text information, providing accurate and effective data information support for team management. By using big data analysis technology to deeply explore the laws and trends of team operations, it helps team leaders predict potential problems and formulate countermeasures in advance. Relying on cloud computing technology to ensure the high availability and elastic expansion of the system, meeting the real-time needs of team management. The process engine technology realizes the automation and standardization of team management processes, reducing manual intervention and error rates.

[0013] Therefore, developing an intelligent information system aims to solve the deficiencies of the existing technology, make full use of modern scientific and technological means, realize the intelligentization, high efficiency, and standardization of team management, and solve various problems in the process of team building 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 existing technology, the present invention provides an intelligent management system and method for civil aviation team building information.

[0015] The present invention is implemented as follows. An intelligent management system for civil aviation team building information includes:

[0016] An intelligent management module. By using natural language processing (NLP) technology, the system can intelligently parse the text information within the team, including work logs, meeting records, personnel files, supervision and inspection sheets, training records, safety education, risk assessment sheets, etc., automatically classify, summarize, and extract key information; through big data analysis technology, the system can deeply explore the laws and trends of team operations, including production efficiency, equipment failure rate, personnel work status, etc., helping team leaders predict potential problems and formulate countermeasures in advance; grasping the deep-seated laws of team operations provides a scientific basis for optimizing management. Through data visualization technology, including pie charts of personnel composition and trend charts, intuitive and comprehensive data support is provided for team leaders;

[0017] A high-efficiency operation module. By using cloud computing technology, it ensures 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, reducing manual intervention, lowering error rates, and improving work efficiency;

[0018] The standardized management module focuses on basic management, grass-roots 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 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 and combines dynamic interaction and responsive design technologies. The system interface is intuitive and easy to understand, and the operation is convenient, enabling team members to quickly get started and reducing training costs. Through user-friendly interface design and interaction experience, it improves the enthusiasm and satisfaction of employees using the system, and further enhances the overall efficiency of team management.

[0020] Another object of the present invention is to provide an intelligent management method for civil aviation flight crew construction information for implementing the intelligent management system of civil aviation flight crew construction information, including:

[0021] S1. Using natural language processing technology, the system can intelligently analyze the text information within the team, including work logs and 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 rates, to help team leaders predict potential problems and formulate countermeasures in advance. Capturing the deep-level rules of team operations provides a scientific basis for optimizing management. Through data visualization technologies, including pie charts of personnel composition and trend charts, it provides intuitive and comprehensive data support for team leaders.

[0022] S2. Using cloud computing technology ensures the high availability and elastic expansion of the system. Even during peak hours or emergencies, the system can operate stably to 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, lowers error rates, and improves work efficiency.

[0023] S3. Focusing on basic management, grass-roots 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 to ensure the standardization and consistency of team work.

[0024] S4. Adopting advanced UI / UX design concepts and combining dynamic interaction and responsive design technologies, the system interface is intuitive and easy to understand, and the operation is convenient, enabling team members to quickly get started and reducing training costs. Through user-friendly interface design and interaction experience, it improves the enthusiasm and satisfaction of employees using the system, and further enhances the overall efficiency of team management.

[0025] Another object of the present invention is to provide 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 for civil aviation crew construction information.

[0026] Another object of the present invention is to provide 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 for 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 this problem, closely combining with the technical solution to be protected by the present invention and the results and data during the R & D process, etc., analyze in detail and deeply how the technical solution of the present invention solves the technical problems and the creative technical effects brought 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 and adopting an electronic data storage method to replace the traditional mixed storage method of paper and electronic versions, realize cloud storage and management of data. All crew data is centrally stored and managed in the system to ensure the unity and consistency of data. At the same time, the system supports real-time data update and synchronization to ensure that all users can access the latest information.

[0031] Technical effects: The present invention promotes the standardization and standardization of the overall crew 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 the ledger data anytime and anywhere through the network, without being restricted by time and location. The built-in search function in the system allows users to quickly retrieve the required information, greatly improving the search efficiency compared with paper documents. The automated data update mechanism reduces manual input errors, ensuring the accuracy and timeliness of data. It reduces the printing, storage and maintenance costs of paper documents, and at the same time reduces the potential costs caused by data loss or errors. The electronic ledger facilitates data sharing between different crews or departments, promoting cross-team collaboration. The system supports regular data backup, and even if data is lost, it can be quickly restored, ensuring the persistence and integrity of data.

[0032] By implementing the present invention, the electronicization of ledger management not only solves the various limitations of traditional preservation methods, but also facilitates the real-time supervision and inspection of the work progress of each team, resulting in a significant improvement in management efficiency and a reduction in operating costs. At the same time, it also enhances the data security and the modernization level of team management.

[0033] (2) The unintuitive nature of ledger logical associations

[0034] Solution: The system integrates NLP technology to achieve intelligent parsing of text information within the team, such as work logs and meeting records, automatically extracts key information, and realizes 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 a pie chart of personnel composition and a trend chart, presenting complex data in an intuitive way, such as pie charts and trend charts, intuitively showing the rules and trends of team operations, and providing rich data sources for the system. A logical association model is built inside the system, which can identify and display the interrelationships between different data. For example, the duplicate content in the "thematic construction" and "six to the team" modules is intuitively displayed through links or relevance annotations. This intelligent parsing and processing method provides data support for decision-making.

[0035] Technical effects: The present invention enhances the understanding and execution efficiency of team members regarding ledger logic, and reduces operation 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 retrieving it from a large amount of text, enhancing the information search efficiency. Team leaders and decision-makers can more accurately grasp the team operation status based on clear and intuitive data charts, and formulate more reasonable management strategies and countermeasures. The logical association model inside the system can identify and integrate duplicate information, avoiding redundant records between different modules, reducing information duplication, and improving the efficiency and accuracy of data management. Through the intuitive display of logical associations, new members can quickly understand the work process and key information of the team, promoting knowledge dissemination and sharing. The automated data processing and visualization display of the system ensure data consistency and reduce information deviations caused by human factors. The present invention not only solves the problem of unintuitive ledger logical associations, but also improves the transparency and efficiency of the entire team management, providing a more scientific, standardized, and efficient information management tool for the construction of civil aviation teams.

[0036] (3) The non-uniformity of requirements for team construction ledgers

[0037] Solution: The system develops a series of standardized electronic ledger templates with built-in standardized processes and templates, providing a unified recording and reporting format for different teams to ensure the unity and consistency of ledger management among different teams. Using rule engines and artificial intelligence technologies, according to the specific needs of different teams, automatically identify and apply various team-specific entry rules and standards to ensure the consistency and accuracy of data collection. Provide a dynamic interface configuration tool to provide a user-friendly interface that allows team managers to adjust and customize ledger requirements, adjust ledger templates and entry interfaces according to the actual situation. 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 into their work processes. Integrate an online training and guidance system to provide interactive tutorials and real-time feedback to help team members quickly understand and master the unified ledger requirements. Establish an artificial intelligence-based audit and quality control system to automatically detect the compliance of ledger records and provide real-time feedback and improvement suggestions to ensure that all ledger records meet the unified standards and provide a feedback mechanism for continuous optimization of 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 permission management to ensure that only authorized personnel can access and modify ledger data to ensure data security.

[0038] Technical effects: The present invention unifies the standards of the ledger for team building, improves the accuracy and reliability of data, and facilitates cross-team comparison and management. The built-in rule engine reduces entry errors and ensures the accuracy and reliability of data. The dynamic configuration interface allows teams to adjust ledger requirements according to specific situations, improving the flexibility of the system. The real-time update and synchronization mechanism reduces duplicate work and delays caused by inconsistent information. Online training materials and operation guides enable new members to quickly master ledger requirements, reducing training time and costs. The audit and feedback mechanism ensures the quality of ledger records, promptly discovers and corrects situations that do not meet the standards. The unified ledger requirements facilitate information sharing among different teams and improve the information transparency of the entire 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 complies with industry standards and regulatory requirements, reducing compliance risks.

[0039] Through these solutions, the technical solution of the present invention not only solves the problem of non-uniformity of ledger requirements for team building, but also improves the efficiency, accuracy and compliance of the entire team management process, and at the same time provides support for continuous improvement and optimization.

[0040] (4) The problems of difficulty and timeliness in supervision and inspection

[0041] Solution: The system is deployed on a cloud computing platform, which can provide elastic resources to ensure that the performance during peak supervision and inspection periods is not affected. The operation data of the work teams is monitored and analyzed in real time using big data technology to quickly identify abnormal patterns and potential problems. The process of supervision and inspection, including task assignment, execution, recording, and feedback, is automated by combining process engine technology, realizing the automation of the supervision and inspection process. Through natural language processing technology, supervision and inspection reports are automatically generated, reducing the time and errors of manual writing. Through mobile applications and real-time notification systems, it is ensured that supervision and inspection personnel can access information immediately and receive task updates. An intuitive user interface is designed, and data visualization technology is used to create a dynamic dashboard to simplify the supervision and inspection process, provide an intuitive data view for supervision and inspection personnel, and improve the operation efficiency and experience of users. Predictive maintenance algorithms and risk assessment models are integrated to give early warnings of problems affecting supervision and inspection.

[0042] Technical effects: The elastic resources of the cloud computing platform in the present invention ensure the continuous operation of the supervision and inspection system, even under high load conditions, ensuring the continuity and stability of supervision and inspection. The use of big data analysis and predictive maintenance technologies helps to accurately identify problems, reduce human omissions, and enhance the accuracy of supervision and inspection. Real-time data monitoring and automated report generation technologies significantly improve the response speed to supervision and inspection problems. The dynamic dashboard provides a powerful decision-making support tool for management, helping them make data-based decisions quickly and enhancing decision-making support. The automated and standardized supervision and inspection process improves the compliance of the entire organization and increases the transparency of the workflow.

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

[0044] In summary, the technical solution of the present invention, through the integration and application of advanced information technologies, not only solves the problems existing in the prior art, but also brings a series of innovative technical effects, providing an efficient, intelligent, and standardized management platform for the construction of civil aviation work teams.

[0045] Generally speaking, the key technical points and points to be protected in the present invention mainly focus 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 significant competitive advantages and practical value for this system.

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

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

[0048] Economic benefits

[0049] Through automation and intelligent technologies, the system has significantly reduced the manual input of the team in aspects such as information processing, data analysis, and decision-making, and has reduced the management cost.

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

[0051] The system ensures the high availability and elastic expansion requirements of the system through cloud computing technology, can flexibly expand with the development of the business, meet the growing management needs, not only saves the hardware and software input costs, but also ensures the stable operation of the system.

[0052] Social benefits

[0053] By managing the ledger through an online system, the lightweight and standardization of the team construction ledger are realized, making the team management more standardized and transparent. The implementation of this system helps to improve the management level of aircraft maintenance and promotes 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 to reduce the accident rate, and ensure the safe operation of the civil aviation industry.

[0055] The innovative application of this system in the field of civil aviation aircraft maintenance fills the industry gap and improves the overall informatization 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 the technological innovation and industrial upgrading of the civil aviation industry.

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

[0057] The technical solution of the present invention fills the technical gap in the intelligent management of team construction information in the domestic and foreign civil aviation industries by integrating and applying cutting-edge technologies. The following are the specific gap-filling points and their innovative values:

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

[0059] Real-time Big Data Analysis: By applying big data analysis technology to monitor and predict the trends of team operation data in real time, it solves the need for real-time data processing and analysis in the construction and operation of civil aviation flight crews.

[0060] Application of Cloud Computing in Civil Aviation Flight Crew Management: Through cloud computing technology, it provides a highly available and flexibly scalable flight crew management platform, meeting the requirements for system stability and flexibility in the construction of civil aviation flight crews.

[0061] Process Automation and Standardization: By using process engine technology to automate the flight crew management process, it improves process efficiency and reduces human errors, which is a major innovation in process management in the civil aviation flight 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 flight crews to identify and address potential risks in advance.

[0063] Data Visualization and Decision Support: By using data visualization technology, it provides intuitive data support for flight crew management and decision-making, enhancing the scientific nature and accuracy of decision-making.

[0064] Optimization of User Experience: By adopting advanced UI / UX design concepts, it improves the usability of the system and the satisfaction of employees, and enhances the user experience of the information system for civil aviation flight crew construction.

[0065] Cross-team Information Sharing and Collaboration: It promotes information sharing and collaboration among different flight crews, improving the efficiency of collaborative work.

[0066] Continuous Improvement and Adaptive Learning: The system has the ability of adaptive learning and can continuously optimize according to feedback, meeting the need for the continuous evolution of the management system in civil aviation flight crew construction.

[0067] Through these innovative points, the technical solution of the present invention not only improves the intelligent and automated level of civil aviation flight crew construction, but also enhances the safety management and operation efficiency of civil aviation flight crew construction, bringing technological progress and value to the civil aviation industry. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0069] Figure 2 is the flowchart of the intelligent management method for civil aviation flight crew construction provided by the embodiment of the present invention;

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

[0071] Figure 4 It is a schematic diagram for writing an intelligent management program for civil aviation crew construction information 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 a dynamic assessment of crew members' capabilities and work styles provided by an embodiment of the present invention;

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

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

[0076] Figure 9 It is a schematic diagram of the crew interface provided by an embodiment of the present invention;

[0077] Figure 10 It is a detailed structure diagram of an 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. Specific implementation manners

[0079] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with 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] As Figure 1 shown. The intelligent management system for civil aviation crew construction information provided by an embodiment of the present invention includes:

[0081] An intelligent management module 1. Using natural language processing (NLP) technology, the system can intelligently analyze the text information within the crew, including work logs and meeting records, and automatically classify, summarize and refine key information; through big data analysis technology, the system can deeply explore the rules and trends of crew operations, including production efficiency and equipment failure rates, to help team leaders predict potential problems and formulate countermeasures in advance; grasping the deep-seated rules of crew operations provides a scientific basis for optimizing management. Through data visualization technology, including pie charts of personnel composition and trend charts, intuitive and comprehensive data support is provided for team leaders;

[0082] The high-efficiency operation module 2 ensures the high availability and elastic scalability of the system by leveraging cloud computing technology. Even during peak hours or in case of emergencies, the system can operate stably to meet the real-time requirements of team management. The application of process engine technology automates and standardizes the team management process, reduces manual intervention, lowers the error rate, and improves work efficiency.

[0083] The standardized management module 3 focuses on basic management, grass-roots 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 work processes, ensuring the standardization and consistency of team work.

[0084] The user experience optimization module 4 adopts advanced UI / UX design concepts and combines dynamic interaction and responsive design technologies. The system interface is intuitive and easy to operate, enabling team members to quickly get started and reducing training costs. The user-friendly interface design and interaction experience enhance employees' enthusiasm and satisfaction in using the system, further improving the overall efficiency of team management.

[0085] The intelligent management module is the core part of the system. Through natural language processing technology, the system can automatically analyze various text information within the team, including work logs, meeting records, etc. Specifically, through text classification and information extraction algorithms, a large amount of text information is automatically classified, summarized, and key information is extracted 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, statistics on equipment failure rates, etc. These data provide scientific decision-making support for team leaders.

[0086] The high-efficiency operation module uses cloud computing technology to ensure the high availability and elastic scalability of the system. Through the distributed architecture design of cloud computing, even during peak hours or in case of emergencies, the system can operate stably to meet the real-time requirements of team management. In addition, the application of process engine technology automates and standardizes the team management process, reduces manual intervention, lowers the error rate, and improves work efficiency. The automated process not only reduces repetitive labor but also ensures the correctness and consistency of each operation through preset rules and processes.

[0087] The standardized management module focuses on three aspects: basic management, grass-roots 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 work processes. Team leaders can create and adjust work processes 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, combines dynamic interaction and responsive design technologies, and ensures that the system interface is intuitive, easy to understand, and convenient to operate. Through clear layout and friendly interaction design, the system interface enables team employees to quickly get started, reducing training costs. In addition, through user-friendly interface design and interaction experience, the system improves employees' enthusiasm and satisfaction in using the system, further enhancing the overall efficiency of team management. Intuitive data display and simple operation processes 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 various charts, including pie charts of personnel composition, trend charts, etc. Through these charts, team leaders can clearly understand various data indicators of the team at a glance. For example, through the pie chart of personnel composition, team leaders can clearly see the distribution of personnel within the team; through the trend chart, they can intuitively understand the changing trends of production efficiency and equipment failure rate. These visual data analyses provide strong support for team leaders' decision-making.

[0090] Through big data analysis and machine learning technologies, the system can deeply analyze various data of team operations, capture the deep-seated laws of team operations, and provide a scientific basis for optimizing management. The system can predict potential problems, such as equipment failures, fluctuations in production efficiency, etc., and provide early warning information for team leaders in advance. Team leaders can formulate countermeasures in advance based on these predictions and early warning information to avoid problems or minimize their impacts. This prediction and early warning function greatly improves the foresight and initiative of team management, ensuring the high efficiency and stability of team operations.

[0091] As Figure 10 shown, the specific implementation of the present invention is as follows:

[0092] 1. Intelligent management module

[0093] Natural language processing subsystem:

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

[0095] Information classification and induction: Based on the results of text parsing, use unsupervised learning or supervised learning algorithms to automatically classify text information into different topics or categories, and summarize the core viewpoints and key information of each category of information.

[0096] Knowledge Graph Construction: Integrate the parsed entities, relationships, and events into a knowledge graph to facilitate the team leader's quick understanding of 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 it into the big data platform through the ETL process.

[0099] Data Mining and Analysis: Utilize statistical analysis, machine learning (such as random forest, neural network), and deep learning techniques to deeply mine the integrated data and discover the rules and trends of team operations, such as the periodic changes in production efficiency.

[0100] Data Visualization Subsystem:

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

[0102] Customized Views: Generate pie charts of personnel composition according to the needs of the team leader, supporting multi-dimensional and multi-time scale data display.

[0103] Enhanced Interaction: Increase the linkage, filtering, and drilling functions between charts, allowing the team leader 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 the stable operation of the system under high concurrency and emergencies.

[0107] High-Availability Architecture Design: Adopt technologies such as load balancing, redundant deployment, and automatic failover to improve the availability and fault tolerance of the system.

[0108] Process Engine Implementation:

[0109] Process Definition Tool: Provide a visual process definition tool that allows the team leader or system administrator to define team management processes by setting conditional logic, etc.

[0110] Automated Execution: The process engine automatically performs operations such as task assignment, progress tracking, and notification reminders according to the defined process rules, reducing manual intervention.

[0111] Process Monitoring and Optimization: Real-time monitor the execution status of processes, provide process performance metrics (such as execution time, success rate), and an exception handling mechanism to support the continuous optimization of processes.

[0112] 3. Standardized Management Module

[0113] Basic Management Framework:

[0114] System Standardization: Formulate basic systems and norms for team management, clarify the responsibilities, work processes, and assessment criteria of each position.

[0115] Informatization Support: Embed systems and norms into the system and enforce them through the system to reduce human errors and violations.

[0116] Customizable Workflow: Support team leaders to customize work processes according to actual needs, including task types, execution sequences, approval links, etc.

[0117] Automated Scheduling Engine: According to the work process and the current task status, automatically schedule resources, assign tasks, and track progress to ensure that work proceeds in an orderly manner according to the plan.

[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: Provide a personalized settings interface that allows users to adjust the interface layout, theme colors, etc. according to their preferences and habits.

[0122] Front-end Technology: Use front-end technologies such as HTML5, CSS3, and JavaScript to build the user interface and support cross-browser access.

[0123] Dynamic Interaction: Use technologies such as Ajax and WebSocket to achieve partial page refresh and real-time data interaction to enhance the user experience.

[0124] Responsive Design: Adopt responsive design technologies such as media queries and flexible layouts to ensure good display of the system on different devices and screen sizes.

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

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

[0127] 1) Signal and Data Processing of the Intelligent Management Module

[0128] The intelligent management module first uses natural language processing technology to automatically parse the text information within the work teams, such as work logs and meeting minutes. During this process, the system can identify the key information in the text and perform automatic classification, induction, and refinement. Subsequently, through big data analysis technology, the system deeply explores the rules and trends of the work team's operations, such as key indicators like production efficiency and equipment failure rate. These analysis results enable the team leader to predict potential problems and formulate countermeasures in advance. Finally, data visualization technology is used to generate pie charts of personnel composition and trend charts, providing intuitive and comprehensive data support for the team leader to make more informed decisions.

[0129] 2) Signal and data processing of the high-efficiency operation module:

[0130] The high-efficiency operation module uses cloud computing technology to ensure the 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 the stable operation of the system and meet the real-time needs of work team management. In addition, the application of process engine technology realizes the automation and standardization of work team management processes. During this process, the system can automatically execute the preset work processes, reducing manual intervention, thereby reducing error rates and improving work efficiency. Through these technical means, the high-efficiency operation module provides strong technical support for work team management.

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

[0132] The standardized management module focuses on basic management, grass-roots construction, and basic skills training to ensure the standardized and systematic operation of work team management. At the system level, this module supports custom work processes through workflow modeling technology, enabling work team tasks to be executed according to established norms and standards. At the same time, the automated scheduling mechanism ensures that various tasks can be completed on time and in sequence, further enhancing the standardization and consistency of work team tasks. Through these functions, the standardized management module constructs a rigorous and efficient working environment for the work team.

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

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

[0135] such as Figure 2As shown in the figure. The intelligent management method for civil aviation crew construction information provided by the embodiments of the present invention includes:

[0136] S1. Using natural language processing technology, the system can intelligently analyze the text information within the crew, including work logs and 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 crew operations, including production efficiency and equipment failure rates, to help team leaders predict potential problems and formulate countermeasures in advance; grasping the deep-level rules of crew operations provides a scientific basis for optimizing management. Through data visualization technology, including pie charts of personnel composition and trend charts, intuitive and comprehensive data support is provided for team leaders;

[0137] S2. Using cloud computing technology ensures the high availability and elastic scalability of the system. Even during peak hours or emergencies, the system can operate stably to meet the real-time needs of crew management; the application of process engine technology enables the automation and standardization of crew management processes, reduces manual intervention, lowers error rates, and improves work efficiency;

[0138] S3. Focusing on basic management, grass-roots construction, and basic skills training, ensuring the standardized and systematic operation of crew management; through workflow modeling and automated scheduling mechanisms, the system supports customized work processes to ensure the standardization and consistency of crew work;

[0139] S4. Adopting advanced UI / UX design concepts and combining dynamic interaction and responsive design technologies, the system interface is intuitive and easy to understand, and the operation is convenient, enabling crew members to quickly get started and reducing training costs; through user-friendly interface design and interaction experience, the enthusiasm and satisfaction of employees using the system are improved, further enhancing the overall efficiency of crew management.

[0140] When implementing the crew construction information system of the present invention, the present invention follows the following specific implementation methods to ensure that the system can fully exert its advantages of intelligence, high efficiency, standardization, and user experience friendliness.

[0141] I. System construction and initialization

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

[0143] II. Technology integration and function realization

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

[0145] 2. Implementation of Big Data Analysis Function: Using big data analysis tools, this invention will deeply mine and analyze the data of workgroup operations. By constructing data analysis models, the system can discover the laws and trends of workgroup operations, predict potential problems, and formulate countermeasures in advance. In addition, the system will also provide visual data analysis tools, such as pie charts of personnel composition, trend charts, etc., to help team leaders intuitively understand the overall situation and development trend of the workgroup.

[0146] 3. Application of Cloud Computing Technology: This invention will make full use of the advantages of cloud computing technology to ensure the high availability and elastic scalability of the system. Through the cloud computing platform, the system can automatically allocate resources to meet real-time needs during peak hours or in case of 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 automate and standardize the workgroup management process, this invention will introduce process engine technology. Through workflow modeling and automated scheduling mechanisms, the system can support customized workflows and ensure the standardization and consistency of workgroup work. This will greatly reduce manual intervention and error rates and improve work efficiency.

[0148] III. Implementation of Standardized Management

[0149] During the system implementation process, this invention will take the "Three Bases" construction as the core strategy to ensure the standardized and systematic operation of workgroup management. The specific measures include:

[0150] 1. Formulating Standardized Management Processes and Standards: According to the actual needs of workgroup management, this invention will formulate a set of standardized management processes and standards. These processes and standards will cover all aspects of workgroup work to ensure the standardization and consistency of workgroup work.

[0151] 2. Introducing Workflow Modeling and Automated Scheduling Mechanisms: Through workflow modeling and automated scheduling mechanisms, this invention will customize suitable workflows according to the actual needs of workgroup management and ensure their standardization and consistency.

[0152] IV. Optimization of User Experience

[0153] In order to improve the user experience and satisfaction, this invention will adopt advanced UI / UX design concepts to optimize the design of the system interface. The specific measures 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 technologies, the system will be more flexible and user-friendly. Users can make personalized settings and adjustments according to their own 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 users to refer to and use.

[0157] As Figure 3 shown is the schematic diagram of the intelligent management login interface for civil aviation flight crew construction information provided by the embodiment of the present invention; as Figure 4 shown is the schematic diagram of program writing provided by the embodiment of the present invention.

[0158] As Figure 5 shown is the schematic diagram of the implementation case provided by the embodiment of the present invention. At present, a total of 138 flight crews in the engineering and maintenance system of Sichuan Airlines Co., Ltd. have started using this system, and the convenience, high efficiency and intelligence of the system have been fully felt during the use process.

[0159] The 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 for civil aviation flight crew construction information.

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

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

[0162] Application Embodiment 1: Sichuan Airlines Flight Crew Construction Information System

[0163] In the work of flight crew construction carried out by Sichuan Airlines, an intelligent system is needed to improve the work efficiency, standardization and quality of flight crew construction. The existing flight crew management relies on scattered paper records and inconsistent electronic spreadsheets, resulting in difficult information sharing, untimely updates and low management efficiency.

[0164] Requirement analysis: Understand the specific requirements of flight crew management in detail, including data collection, process monitoring, report generation, etc.

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

[0166] Design a user-friendly interface to 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 it to the new system. Integrate data from different sources to ensure data consistency and integrity.

[0168] Employee training and support: Provide system operation training for 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 in team management, such as task assignment, 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, detect 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 the system functions and user experience based on user feedback and system usage.

[0173] 3. Technical effects

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

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

[0176] Improve decision-making support: Real-time monitoring and data analysis provide accurate decision-making support for management, 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] Enhance user experience: User-friendly interfaces and simplified operation processes improve employee satisfaction and reduce training costs.

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

[0180] Improving Safety Standards: Through standardized team management processes, the overall safety management level of the entire airline has been enhanced.

[0181] Environmentally Friendly: Reducing the reliance on paper documents, which is in line with the green and environmentally friendly office concept.

[0182] Through the present invention, Sichuan Airlines can achieve the modernization of team building management, improve management efficiency and quality, and at the same time provide a better working experience and decision-making support for team management.

[0183] As Figure 6 shown, for the dynamic assessment of team members' capabilities and work styles, the present invention is committed to creating a comprehensive, flexible and adaptable module to achieve the accurate and continuous assessment of team members' capabilities and work styles. This module not only focuses on the current performance of members, but also emphasizes the assessment of their potential and sustainable development, ensuring the dual improvement of the overall effectiveness of the team and the individual growth.

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

[0185] In terms of assessing capabilities and work styles, this module adopts dynamically set multi-dimensional assessment indicators. By setting clear assessment criteria and quantitative indicators for team members in each team and each work stage, the present invention can evaluate the performance of members more objectively and fairly, and enable team leaders and management to also formulate more effective training and incentive measures based on the assessment results, promoting the overall development of the team and the rapid growth of members.

[0186] As Figure 7 shown, in order to more effectively manage and respond to potential risks, the present invention introduces a set of customized risk grading systems. This system divides risks into three different regions: the red zone, the orange zone, and the yellow zone based on the nature, impact degree, and probability of occurrence of the risks, and has a historical query function for reference.

[0187] Red Zone (High Risk):

[0188] The red zone represents an extremely high risk level, covering those risks that are very likely to occur and will cause huge losses or impacts once they occur. These risks require immediate action and the allocation of the highest level of resources and attention.

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

[0190] The orange area indicates medium to high risks, covering those risks with a relatively high occurrence probability or those that will have a greater impact once they occur. For these risks, detailed response strategies need to be formulated and their dynamics continuously monitored.

[0191] Yellow area (low risk):

[0192] The yellow area represents a lower risk level, usually including those risks with a relatively low occurrence probability or those that will not cause much impact even if they occur. Nevertheless, vigilance still needs to be maintained, and risk assessment and monitoring should be carried out regularly.

[0193] Historical query:

[0194] For the convenience of reviewing and analyzing past risk points, the present invention has established a historical query function. Through this function, users can query past risk records, providing reference for future risk management.

[0195] As Figure 8 shown is the schematic diagram of login history tracking provided by the embodiment of the present invention; as Figure 9 shown is the schematic diagram of the team interface provided by the embodiment of the present invention.

[0196] Embodiment 1: Intelligent management application for ground crew teams at civil aviation airports

[0197] The ground crew team of a large international airport is responsible for key tasks such as aircraft maintenance, cargo handling, and passenger service. Under the traditional management mode, the processing efficiency of information such as work logs and meeting records 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, automatically parse the work logs and meeting records of the ground crew team, quickly classify, summarize, and extract key information, such as equipment maintenance records and personnel attendance.

[0200] Through big data analysis technology, deeply mine the operation data of the team, identify the time periods and causes of frequent equipment failures, predict fluctuations in production efficiency, provide early warning information for the team leader, and recommend optimizing the shift schedule and equipment maintenance plan.

[0201] Generate pie charts of personnel composition, trend charts of equipment failure rates, etc. through data visualization to intuitively display the team status and assist in decision-making.

[0202] 2) High-efficiency operation module:

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

[0204] Utilize workflow engine technology to automate the shift management process, such as automatically assigning work tasks, tracking task progress, etc., reducing manual intervention and improving efficiency.

[0205] 3) Standardized management module:

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

[0207] Customize work processes, such as equipment inspection processes, emergency event handling processes, etc., and ensure that each step is completed on time and with high quality through an automated scheduling mechanism.

[0208] 4) User experience optimization module:

[0209] Adopt advanced UI / UX design to create an intuitive and easy-to-understand system interface, support dynamic interaction and responsive design, and adapt to access from different devices.

[0210] Provide user-friendly operation guides and training materials to reduce the learning cost of employees and improve the enthusiasm for using the system.

[0211] After implementing this system, the work efficiency of the ground crew shift has been significantly improved, the equipment failure rate has decreased, and human resources have been more reasonably allocated. At the same time, the team leader can make more scientific decisions based on the data analysis results to ensure the high efficiency and stability of airport operations.

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

[0213] With the development of the civil aviation industry, the skill qualification level of civil aviation maintenance personnel has become an important link in ensuring flight safety. The traditional management method of crew personnel qualifications relies on regular sorting and manual records, making it difficult to monitor the changes in the qualification capabilities of maintenance personnel in real time and with insufficient data analysis.

[0214] 1) Intelligent management module:

[0215] Integrate the data of crew personnel file information, such as personnel information, personnel qualifications, etc., 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, deeply analyze the results of on-site inspection data, predict potential safety trends and factors with high risk hazards, and provide early warning information for safe operation.

[0217] Generate a personnel work style portrait diagram through data visualization to intuitively display the work and ideological status of team members and assist in formulating personalized personnel guidance plans.

[0218] 2) High-efficiency operation module:

[0219] Utilize cloud computing technology to ensure the high availability of the team skill training system and the real-time data processing ability, and support the verification and feedback of training effects.

[0220] 3) Standardized management module:

[0221] Formulate the standard processes for entering information in the team ledger, including daily work logs, task risk assessments, risk warnings, personnel qualifications, etc., to ensure standardized management.

[0222] 4) User experience optimization module:

[0223] Design a simple and clear PC application interface, support one-key uploading of various data records, and reduce the operation complexity.

[0224] Provide personalized team building and improvement solutions to enhance the dependence and satisfaction of each team on the system.

[0225] After implementing this system, the management of the team ledger system is more scientific and efficient, potential ledger problems are discovered and solved in a timely manner, and the work efficiency of the team is effectively improved.

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

[0227] In a large airline, the daily management tasks of the team are heavy and complex. In order to improve the management efficiency and quality of the team, the company decides 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 actual application.

[0228] 1. Application of the intelligent management module

[0229] Text information parsing and extraction: In the daily work of the team, a large amount of work logs and meeting records will be generated. Through the intelligent management module, the system can automatically parse this text information, and automatically classify, summarize and extract the 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 be pushed to the team leader and relevant management personnel to help them quickly understand the current situation of the team's operation.

[0230] Data analysis and prediction: Utilize big data analysis technology, the system regularly analyzes the operation data of the team, such as production efficiency, equipment failure rate, and employee attendance rate. Through these data analyses, the system can discover potential problems in the team's operation, such as a relatively high probability of equipment failure, or the production efficiency of a certain shift continuously being lower than the standard value. Based on these prediction data, the team leader can formulate countermeasures in advance, such as arranging equipment maintenance or adjusting personnel allocation, to avoid problems from occurring.

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

[0232] 2. Application of the high-efficiency operation module

[0233] Cloud computing technology ensures the high availability of the system: During the peak operation period of the airline, the work team management system will face a large number of data processing and operation requests. The high-efficiency operation module uses cloud computing technology to ensure that the system can still operate stably under high load. At the same time, this module also supports elastic expansion, and can dynamically adjust system resources according to actual needs to avoid system response delays caused by sudden increases in traffic.

[0234] Process engine technology realizes automated management: The daily work processes of the work team, including personnel scheduling, task assignment, and equipment inspection, etc., are 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 operations of the team leader and improves the overall work efficiency of the work team.

[0235] 3. Application of the standardized management module

[0236] Customized work processes ensure standardized management: In this airline, different work teams have different work characteristics and requirements. The standardized management module of the system allows work teams to customize work processes according to their own characteristics. For example, a certain work team emphasizes the daily maintenance work of equipment. They can establish a standardized work process for equipment maintenance in the system and set an automated scheduling mechanism to ensure that all maintenance work is carried out according to the plan and avoid omissions.

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

[0238] 4. Application of the user experience optimization module

[0239] Intuitive user interface design: The user interface of the system adopts advanced UI / UX design concepts, and the layout of all function modules is reasonable and easy to understand. For example, the dashboard on the home page of the system can directly display the key indicators of the work team, and employees can quickly enter the function 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 automatically adjusts the layout to ensure the best user experience. In addition, the system also supports real-time prompts and feedback functions. When employees complete an operation, the system immediately gives a confirmation prompt, enhancing the user's operation experience.

[0241] Improve Employees' Enthusiasm for Use: 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 regularly launches operation guides and usage tips to improve employees' familiarity with the system, reducing training time and costs, and further enhancing the overall efficiency of team management.

[0242] Through the above embodiments, the airline has successfully utilized the intelligent management system for civil aviation flight crew construction, achieving the intelligent, efficient, and standardized management of flight crews, and significantly improving the management level and operation efficiency of flight crews.

[0243] It should be noted that the embodiments of the present invention can be implemented through 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. Those of ordinary skill in the art can understand that the above devices and methods can be implemented using computer-executable instructions and / or included in processor control code, such as provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuits of programmable hardware devices such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable logic devices such as field programmable gate arrays, or can be implemented by software executed by various types of processors, or can be implemented by a combination of the above hardware circuits and software, such as firmware.

[0244] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention by those skilled in the art within the technical scope disclosed by the present invention shall 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 multiple technologies including natural language processing, big data analysis, cloud computing, process engine, and UI / UX design to achieve intelligent, efficient, standardized, and user experience-optimized team management; the intelligent management module of the system uses NLP technology to parse text information, construct a knowledge graph, and through big data analysis, dig out the operation rules of the team, and 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 customizing work processes 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 the user experience; It includes: An intelligent management module that uses natural language processing technology to automatically parse text information within the team, including work logs and meeting records, for automatic classification, summarization, and extraction of key information; through big data analysis technology, deeply dig out the rules and trends of team operations, including production efficiency and equipment failure rate, to help team leaders predict potential problems and formulate countermeasures in advance; generate a pie chart of personnel composition and a trend chart through data visualization technology; An efficient operation module that uses 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 to meet the real-time needs of team management; realize the automation and standardization of team management processes through process engine technology; A standardized management module that focuses on basic management, grass-roots construction, and basic skills training to ensure the standardized and systematic operation of team management; support custom work processes through workflow modeling and automated scheduling mechanisms to ensure the standardization and consistency of team work; A user experience optimization module that adopts advanced UI / UX design concepts, combined with dynamic interaction and responsive design technologies; through user-friendly interface design and interaction experience; Among them, the intelligent management module includes: Natural language processing subsystem: Text parsing engine: Use pre-trained NLP models and custom dictionaries to deeply parse work logs and meeting record texts within the team, and identify key entities, relationships, and events; Information classification and summarization: Based on the results of text parsing, use unsupervised learning or supervised learning algorithms to automatically classify text information into different topics or categories, and summarize the core viewpoints and key information of each category of information; Knowledge graph construction: Integrate the parsed entities, relationships, and events into a knowledge graph to facilitate team leaders to quickly understand the internal relationship network and event context of the team; Big data analysis subsystem: Data source integration: Collect data from various data sources and integrate it into the big data platform through the ETL process; Data mining and analysis: Use statistical analysis, machine learning, and deep learning technologies to deeply mine the integrated data to discover the rules and trends of team operations, such as the periodic changes in production efficiency; Data visualization subsystem: Visualization tool: Select a visualization tool suitable for big data display and design intuitive and easy-to-understand chart templates; Customized View: Generate a pie chart of personnel composition according to the needs of team leaders, supporting data display in multiple dimensions and time scales; Enhanced Interaction: Add functions of linkage, filtering, and drilling down 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 according to system load and access volume; High-Availability Architecture Design: Adopt load balancing, redundant deployment, and automatic failover technologies; Process Engine Implementation: Process Definition Tool: Provide a visual process definition tool, allowing team leaders or system administrators to define team management processes by setting conditional logics; Automated Execution: The process engine automatically performs task assignment, progress tracking, and notification reminder operations according to the defined process rules; Process Monitoring and Optimization: Real-time monitor the execution status of processes, provide process performance indicators and exception handling mechanisms, and support the continuous optimization of processes; The standardized management module includes: Basic Management Framework: System Standardization: Formulate basic systems and specifications for team management, clarifying the job responsibilities, work processes, and assessment criteria of each position; Informatization Support: Embed systems and specifications into the system and enforce them through the system to reduce human errors and violations; Customized Workflow: Support team leaders to customize work processes according to actual needs, including task types, execution sequences, and approval links; Automated Scheduling Engine: Automatically schedule resources, assign tasks, and track progress according to work processes 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: Provide a personalized settings interface, allowing users to adjust the interface layout and theme color according to their preferences and habits; Front-End Technologies: Use HTML5, CSS3, and JavaScript front-end technologies to build the user interface, supporting cross-browser access; Dynamic Interaction: Utilize Ajax and WebSocket technologies to achieve partial page refresh and real-time data interaction, enhancing the user experience; Responsive Design: Adopt media query and flexible layout responsive design technologies to ensure good display of the system on different devices and screen sizes; Data Analysis and Improvement: Analyze user feedback data, identify problems and improvement points in the system, and continuously optimize system functions and user experience; The intelligent management module further deeply analyzes various data of team operations through big data analysis and machine learning technologies, captures the deep-level rules of team operations, predicts potential problems such as equipment failures and production efficiency fluctuations, and provides early warning information for team leaders in advance to help team leaders formulate coping strategies and ensure the efficient and stable operation of the team; The data visualization technology includes generating various charts to intuitively display various data indicators of the work group; through these charts, the team leader can clearly understand the distribution of personnel within the work group, the changing trend of production efficiency, and the statistical results of equipment failure rates, thereby providing strong decision-making support for work group management.

2. An intelligent management method for civil aviation crew construction information for implementing the intelligent management system of civil aviation crew construction information as described in claim 1, characterized in that, including: Parsing and analyzing the text information within the work group using the intelligent management module, identifying key information, and providing decision-making support through big data analysis and data visualization technology; Achieving high availability and elastic expansion of the system through the efficient operation module, and automating the management process using process engine technology; Ensuring the standardization and consistency of work group operations through the standardized management module using workflow modeling technology and an automated scheduling mechanism; Providing an intuitive, easy-to-understand, and convenient-to-operate system interface through the user experience optimization module using UI / UX design concepts and dynamic interaction technology.

3. The intelligent management method for civil aviation crew construction information according to claim 2, wherein, The specific steps of the intelligent management module include: Parsing the text information within the work group, such as work logs and meeting records, using natural language processing technology, and automatically classifying, summarizing, and refining key information; Deeply mining the laws and trends of work group operations through big data analysis technology, and generating a pie chart of personnel composition and a development trend chart.

4. The intelligent management method for civil aviation crew construction information according to claim 2, wherein The specific steps of the efficient operation module include: Automatically adjusting cloud computing resources during peak system hours or in case of emergencies using cloud computing technology to ensure the stable operation of the system; Automating and standardizing the work group management process through process engine technology, reducing manual intervention, and improving work efficiency.

5. The intelligent management method for civil aviation crew construction information according to claim 2, characterized in that The specific steps of the user experience optimization module include: Adopting advanced UI / UX design concepts, combined with dynamic interaction and responsive design technologies; Responding in real-time to user input and operations, providing a smooth and natural interaction experience; Increasing the enthusiasm and satisfaction of employees in using the system, and reducing training costs.

6. A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the intelligent management method for civil aviation work group construction information as described in claim 2.

7. An information data processing terminal, the information data processing terminal includes the intelligent management system for civil aviation work group construction information as described in claim 1.

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