民航飞机维修班组的智能化管理系统设计与实现
Design and Implementation of Intelligent Management System for Civil Aviation Aircraft Maintenance Teams
摘要: 针对民航飞机维修班组管理工作中存在的台账信息分散、业务流程执行不统一等问题,本文设计并实现了一套面向该场景的智能化管理系统。该系统结合民航维修班组建设的实际场景,围绕核心业务需求进行系统设计,并引入文本智能解析方法,从非结构化文本里提取关键信息,进行结构化处理。本文从功能正确性、流程流转、权限控制和运行稳定性等方面,对系统进行测试和应用验证。测试结果表明,系统各模块运行稳定,业务流程执行顺畅,能够较好满足民航飞机维修班组管理工作,并在提升台账资料管理效率、规范业务流程执行及增强管理决策支撑能力方面效果明显,对推进基层班组管理的数字化与智能化转型具有一定的实践价值。
Abstract: To address issues such as scattered record-keeping and inconsistent execution of business processes in the management of civil aviation aircraft maintenance teams, this paper designs and implements an intelligent management system tailored to this scenario. This system is designed around core business requirements, taking into account the practical scenarios of civil aviation maintenance team operations, and incorporates intelligent text analysis methods to extract key information from unstructured text and process it into a structured format. This paper tests and validates the system in terms of functional correctness, workflow, access control, and operational stability. The test results indicate that the system modules are running stably, the business processes are executing smoothly, and they can effectively meet the management needs of civil aviation aircraft maintenance teams. Moreover, it has significant effects in improving the efficiency of ledger data management, standardizing the execution of business processes, and enhancing the support capability for management decisions. It has certain practical value for promoting the digital and intelligent transformation of grassroots team management.
文章引用:李伟. 民航飞机维修班组的智能化管理系统设计与实现[J]. 服务科学和管理, 2026, 15(5): 935-943. https://doi.org/10.12677/ssem.2026.155108

参考文献

[1] 张晗. 安全文化赋能民航基层班组建设的内在逻辑及实践路径[J]. 民航管理, 2026(1): 54-57.
[2] 曹闪, 乐美龙, 张茜, 等. 基于班组的现代民航信息智能运维管理实践分析[J]. 互联网周刊, 2024(22): 12-15.
[3] 李伟杰, 王浩锋, 刘冰, 等. 人工智能在民航安全治理中的综合应用研究[J]. 民航管理, 2026(6): 59-63.
[4] 姜磊. 数字化转型赋能民航安全管理的实践探析[J]. 中国设备工程, 2024(9): 92-94.
[5] 王蔚宁. 民航飞机航线维修管理信息系统的设计与实现[D]: [硕士学位论文]. 上海: 上海交通大学, 2015.
[6] 刘曦东. 电子信息技术在民航业中的应用研究[J]. 通讯世界, 2026, 33(6): 31-33.
[7] 何策策. 数字化转型下甘肃省民航机场集团人力资源管理创新实践研究[J]. 民航学报, 2026, 10(3): 248-251.
[8] Devlin, J., Chang, M., Lee, K. and Toutanova, K. (2019) BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding. Proceedings of the 2019 Conference of the North, Minneapolis, 2 June-7 June 2019, 4171-4186.
https://doi.org/10.18653/v1/n19-1423
[9] 车万翔, 窦志成, 冯岩松, 等. 大模型时代的自然语言处理: 挑战、机遇与发展[J]. 中国科学: 信息科学, 2023, 53(9): 1645-1687.
[10] Cai, D., Wang, S., Wu, Y., Gu, H., Duan, Y., Fan, L., et al. (2026) Resource-Efficient Federated Fine-Tuning for Privacy-Preserving NLP Applications. Science China Information Sciences, 69, 509-510.
https://doi.org/10.1007/s11432-025-4859-8
[11] 赵学武, 吴宁, 王军, 等. 航空大数据研究综述[J]. 计算机科学与探索, 2021, 15(6): 999-1025.
[12] 张金杰. 面向大数据可视化的航班延误分析系统设计与实现[D]: [硕士学位论文]. 天津: 中国民航大学, 2022.
[13] 王思阳. 工作流引擎技术分析及在项目管理系统中的应用实践[J]. 数字技术与应用, 2023, 41(9): 96-98.