Information describing method based on S1000D

Abstract

Abstract:

The development of technology has brought great opportunities for the informatization development of technical documentations while bring challenges for traditional paper-based technical documentations. The information description based on S1000D standard uses data module as the core,and the tree structure of data module is the most effective form. Moreover,data module that coded under S1000D standard can ensure its uniqueness.S1000D combining with comparison of date structures and example analysis is used to research the informatization method of the contents description of technical documentations,and to provide reference for realizing information description of technical documentations.

Key words: S1000D, information, data module, code

CLC Number:

V328.1
T-651

LIU Yan-hong,TAN Bin. Information describing method based on S1000D[J]. .

[1]	GAO Y ou, , XIE Mingyue , WANG Gang. New constructions of optimal and asymptotically optimal codebooks [J]. Journal of Civil Aviation University of China, 2026, 44(1): 86-90.
[2]	LIU Jie, LI Xue, XUE Siqi, AN Yuan, RAN Xia, YANG Lisong, ZHANG Xinxin, WANG Qing. A study of budget and cost management strategies for civil aviation information systems project portfolios [J]. Journal of Civil Aviation University of China, 2025, 43(6): 83-87.
[3]	FENG Xia, ZHAO Meng, LIU Caihua. Hierarchical gas deduction method based on Wasm code block [J]. Journal of Civil Aviation University of China, 2025, 43(3): 68-74.
[4]	DENG Wua , LI Xinyanb , ZHOU Xiangbing , ZHAO Huimina. Review of key technologies and methods for secure sharing of civil aviation data [J]. Journal of Civil Aviation University of China, 2025, 43(2): 8-18.
[5]	FENG Xing, ZHANG Jian, LI Runing. Multi-objective optimization of airport runway construction schedule based on BIM and GA [J]. Journal of Civil Aviation University of China, 2023, 41(5): 49-56.
[6]	ZHOU Maoyuan, WU Xiaoshuang. Review of anomaly detection models based on deep learning [J]. Journal of Civil Aviation University of China, 2023, 41(4): 1-7.
[7]	WANG Yonggang, CHE Zhuojun. Research on the internal influencing factors of pilots′ unsafe behaviors [J]. Journal of Civil Aviation University of China, 2023, 41(3): 41-46.
[8]	WANG Lei, ZHANG Mengxi, ZOU Ying, CAI Yiwei. Research on evaluation index of pilot ability based on information processing model [J]. Journal of Civil Aviation University of China, 2023, 41(2): 1-7.
[9]	WANG Peng , YAO Xinpeng , WANG Kenian , CHEN Wenqi , CHEN Xi . Detection method for code defect based on LSTM-Seq2Seq model with large perception [J]. Journal of Civil Aviation University of China, 2023, 41(2): 14-20.
[10]	LIU Junjie, YE Yinghao, DU Yinlan. Quantification of controlled flight into terrain event based on Bayesian network [J]. Journal of Civil Aviation University of China, 2023, 41(2): 21-26.
[11]	DING Jianli SU Wei. Joint extraction method of entity relationship based on coding feature fusion of BERT-CNN [J]. Journal of Civil Aviation University of China, 2023, 41(2): 47-53.
[12]	XU Dengming , MENG Chen. Constructions of asymptotically optimal codebooks over Galois rings [J]. Journal of Civil Aviation University of China, 2022, 40(5): 59-64.
[13]	HU Tieqiao, BI Ziwen. The design and realization of ADS-B receiver monitoring and testing software [J]. Journal of Civil Aviation University of China, 2022, 40(4): 10-16.
[14]	CUI Zhenxin, ZHANG Zhuoyan. Automatic classification of civil aviation safety information based on text augment [J]. Journal of Civil Aviation University of China, 2022, 40(3): 47-53.
[15]	GAO You, GAO Jinru. A construction of subspace codes of type （m，0，0，1） in pseudo-symplectic space [J]. Journal of Civil Aviation University of China, 2022, 40(1): 60-64.

Information describing method based on S1000D

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments