Research Of Data Model In Engineering Flight Simulation Platform Based On Meta-Data Liu Jinxin 1,a, Xu Hong 1,b, Shen Weiqun 2,c

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1 Applied Mechanics and Materials Online: ISSN: , Vols , pp doi: / Trans Tech Publications, Switzerland Research Of Data Model In Engineering Flight Simulation Platform Based On Meta-Data Liu Jinxin 1,a, Xu Hong 1,b, Shen Weiqun 2,c 1 Beihang University, school of computer science, Haidian Beijing, China 2 Beihang University, school of Automation Science and Electronic Engineering, Haidian Beijing, China a cobing_liu@cse.buaa.edu.cn, b xh@buaa.edu.cn, c shenweiqun@buaa.edu.cn Keywords: meta-data; data model; flight simulation Abstract. The research of data model is a key technology in engineering flight simulation platform. This work analyses the engineering flight simulation platform s present research situation and specific demands. Then we propose a data model in engineering flight simulation platform based on meta-data. The model shields the heterogeneity of system data and can build association between system data. At last, we finished the data management module in engineering flight simulation platform based on the model mentioned above, which proved that this data model has greater significance in realizing generality and expandability in engineering flight simulation platform. Introduction EFSP(engineering flight simulation platform) plays an important role in aviation scientific research, aircraft s development and design. It is used by all kinds of area in aviation industry[3]. By using EFSP, we can test aircraft s operability, stability and maneuverability, establish flight quality standard, study aircraft s control scheme and control system, discuss the parameter optimization between aircraft s subsystems. While experimenting on EFSP, it produces large amounts of data, and EFSP need to manage these data effectively. Design engineers appraise new aircraft s performance to improve it by analyzing trends in data change and trends between all kinds of data. This work proposes a simulation data s uniform definition and a handing method. Section 1 analyses all kinds of data and data stream in EFSP. Section 2 proposes a 3-layer data model based on meta-data in EFSP. Section 3 implements a data management task in EFSP using 3-layer data model. Section 4 summarizes this work and discusses related problem about data model. System data. Data in EFSP can be divided into following categories: Simulation result data. The main control node controls other nodes in platform. It imports matlab model into model calculation node, then calculation node generates simulation result data in a fixed(usually 10ms) time interval. Simulation result data describes running state of aircraft s subsystems. Data storage module in Database node reads simulation data from real-time network and handles them to Database node. Database node manages these simulation result data. A schematic view of simulation result data s flow is shown in Fig.1. Fig.1 A schematic view of simulation result data s flow All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of Trans Tech Publications, (ID: , Pennsylvania State University, University Park, USA-09/05/16,00:18:55)

2 Applied Mechanics and Materials Vols Operation data. Main control node controls aircraft s subsystems. In order to trace user s operation, we should store each user s operating data. Initial value data. Operators set other subsystems initial value at main control node. Initial value includes static value and dynamic value. The type of static value is Float, and dynamic value is generated by signal producer at the time interval of 1ms. Configuration data. Each node in EFSP has configuration data, such as simulation model, simulation device and simulation period. It also includes reflecting table of each variable, user control information of main control node and database node. Monitoring data. While matlab model is calculated in model calculation node, curve display node and parameter display node monitor all variables in EFSP[3]. Experiment report data. After the end of simulation experiment, users usually want to view the trends of the variable changes, concern the relationship between variables and draw the corresponding changes of variables. Data model based on meta-data. In some layered software model, high-level business processing logic will become too bloated and huge after low-level data is changed. This section proposes a meta-data based conceptual model of data management in EFSP, and then describes each relationship between units in this model. Meta-data and meta-data driven. Meta-data is used to describe data. Programming and software s management by meta-data is called meta-data driven[2]. Meta-data driven is the abstraction of information world[5]. Meta-data describes the data information and software functionality, provides a method of management software and data, so meta-data is a higher level of abstraction. Meta-data node model. In order to manage all kinds of data in a uniform method, we encapsulate each type of data into a meta-data object. These meta-data objects are described as meta-data node, each node has a unique ID. Meta-data node N fp is defined as Eq.1: Nfp = {ID, Name, Desc, I/O type, FT} (1) ID is the unique identity of metadata node. Name is metadata node s name, Desc is metadata node s detail description, I/O Type identifies whether this metadata node is Input Type or Output Type, FT gives the storage format of metadata node. Common format of data storage is XML, JSON, database tables and user-defined files, etc. Here is an example of the metadata node which describes operation information. Suppose it s ID = 4, we can define it like: N fp = {4, operation information, describes detail operation flow of each user, Output, database table} Metadata s relationship model. Metadata nodes have relationship between each other, the relationship model R ij is defined as Eq.2: R ij = {ID, ID i, ID j,relation} (i j) (2) ID is the unique identity of metadata s relationship, ID i is the relationship s start node, ID j is the relationship s end node, relation is the relationship type. The relationship between metadata nodes in EFSP includes Include, Is-part-of, Is-dependent and Define. Include represents that ID i includes ID j, Is-part-of represents that ID i is part of ID j, Is-dependent represents that ID i is dependent of ID j, Define represents that ID i defines ID j. For example, the relationship the variable which builds database table is a subset of system variable is defined as below: R 12 = {2, is-part-of, 1, 2} R 21 = {4, include, 2, 1} The variable which builds the database table has the ID of 1, the total variable s ID is 2. Conceptual model based on metadata. With the definition of metadata node and relationship, a view of software s architecture to manage data in EFSP is shown in Fig.2.

3 1752 Manufacturing Engineering and Process II Fig.2 Software s architecture in EFSP based on metadata model Business logic metadata layer: the business logic layer interacts with metadata business logic layer before interpreting business logic and finishing business functions. This can effectively minimize time costs of resolving control information from the bottom layer. Business logic metadata layer is an effective measure to reduce the computation burden of the business layer and improve EFSP s instantaneity. Presentation metadata layer: this layer stores the definition of metadata node and metadata relationship. Business logic metadata layer builds metadata according to the definitions in presentation metadata layer. Data model s implementation This section gives a specific implementation of an engineering flight simulation platform based on the data model mentioned in section 3. This EFSP is composed of five parts. They are main control node, data management node, data store node, curve display node and model calculation node. Main control node is the master of the platform, it controls other nodes behavior and sends control signals to simulation devices. Data management node manages all kinds of data in EFSP. Data store node collects simulation data from real-time network. Curve display node draws data s trends which user concerns. Model calculation node generates simulation data by resolving matlab model and then sends them to real-time network. A brief description of metadata node and metadata relationship is shown in Fig.3. Fig.3 A brief description of metadata node and their relationship

4 Applied Mechanics and Materials Vols This engineering flight simulation platform s software architecture is shown in Fig.4. Fig.4 EFSP s software architecture Presentation layer: we define two kinds of users---operators and administrators, they have different authority in EFSP. Business layer: we provide many modules in this layer. Such as operator log management module, operator initial value management module, simulation result data management module, curve display module, user control module and fast data acquisition module. These modules handle different kinds of data according to different kinds of metadata. Persistent layer: this layer includes metadata node, metadata nodes relationship and metadata s storage. Metadata is imported from metadata model, so metadata management in business layer shields the isomerism of metadata in persistent layer and provides a uniform view to upper business layer. This engineering flight simulation platform is delivered to users. It is running stable and has good performance of human-computer interaction. Practice shows that the introduction of metadata model in EFSP can successfully manage the complex system data. Conclusion To handle the problem of complex data management, this work proposed a metadata model in EFSP based on metadata technology. This model has practical guiding significance to system design and system implement in EFSP. It also has reference value to other systems design and development. We will perfect the metadata model in EFSP. Our target is to make the EFSP more universal and extendable in the future. References [1] Brian Matthews: Using a core scientific metadata model in large-scale facilities[r]. The international journal of digital curation [2] JunLing Zhao :research and application of software architecture based on metadata[d]. Beijing: Beijing University of Posts and Telecommunications (2005): [3] Shen Weiqiong. & Zhang Yongqing: study of common communication model in engineering flight simulation platform[j]. System simulation technology [4] Zhang Yong-wei.& Gu Xin-jian.& Hu Heng-jie.& Ji Yang-jian.& Qi Guo-ning: metadata model of process planning knowledge resource network[j]. Hangzhou: Journal of Zhejiang University [5] Zhang Yu.& Jiang Dongxing& Liu Qixin: metadata-based integration scheme for heterogeneous datasets. Beijing: Journal of Tsinghua University [6] Zhang Jifu.& Chen Lei.& Deng Hua.& He Yun: Research on Flight simulation based on object-oriented technology[j]. Computer technology and development

5 Manufacturing Engineering and Process II / Research of Data Model in Engineering Flight Simulation Platform Based on Meta-Data /

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