An industrial information integration approach to in-orbit spacecraft

ABSTRACT To operate an in-orbit spacecraft, the spacecraft status has to be monitored autonomously by collecting and analysing real-time data, and then detecting abnormities and malfunctions of system components. To develop an information system for spacecraft state detection, we investigate the feasibility of using ontology-based artificial intelligence in the system development. We propose a new modelling technique based on the semantic web, agent, scenarios and ontologies model. In modelling, the subjects of astronautics fields are classified, corresponding agents and scenarios are defined, and they are connected by the semantic web to analyse data and detect failures. We introduce the modelling methodologies and the resulted framework of the status detection information system in this paper. We discuss system components as well as their interactions in details. The system has been prototyped and tested to illustrate its feasibility and effectiveness. The proposed modelling technique is generic which can be extended and applied to the system development of other large-scale and complex information systems.

[1]  Lihui Wang,et al.  Reconfigurable manufacturing systems: the state of the art , 2008 .

[2]  Chao Wang,et al.  A new methodology to support group decision-making for IoT-based emergency response systems , 2014, Inf. Syst. Frontiers.

[3]  Paul Beynon-Davies,et al.  Design Breakdowns, Scenarios and Rapid Application Development , 2000, ECIS.

[4]  Lida Xu,et al.  Advances in e-business engineering management , 2014, Inf. Technol. Manag..

[5]  Mika Mannermaa,et al.  In search of an evolutionary paradigm for futures research , 1991 .

[6]  Lida Xu,et al.  IoT and Cloud Computing in Automation of Assembly Modeling Systems , 2014, IEEE Transactions on Industrial Informatics.

[7]  Tetsuo Tomiyama,et al.  A review of function modeling: Approaches and applications , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[8]  Li Li,et al.  A Dynamic Recurrent Neural Network Fault Diagnosis and Isolation Architecture for Satellite's Actuator/Thruster Failures , 2005, ISNN.

[9]  Lihui Wang,et al.  Visualisation and Verification of Communication Protocols for Networked Distributed Systems , 2010 .

[10]  Alessio Malizia,et al.  SEMA4A: An ontology for emergency notification systems accessibility , 2010, Expert Syst. Appl..

[11]  Amitabh Barua,et al.  Intelligent model-based hierarchical fault diagnosis for satellite formations , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[12]  Wu He,et al.  A semantic query-based approach for management decision-making , 2015 .

[13]  Leonid M. Fridman,et al.  Second-order sliding-mode observer for mechanical systems , 2005, IEEE Transactions on Automatic Control.

[14]  James B. Harrington.  Clips as a knowledge based language , 1987 .

[15]  John S. Gero,et al.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[16]  John L. Crassidis,et al.  Survey of nonlinear attitude estimation methods , 2007 .

[17]  Oscar Luiz Monteiro de Farias,et al.  Agent-Based Geographical Information System , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

[18]  Siqing Shan,et al.  A Knowledge Engineering Framework for Identifying Key Impact Factors from Safety-Related Accident Cases , 2014 .

[19]  Lida Xu,et al.  A programmable agent for knowledge discovery on the Web , 2003, Expert Syst. J. Knowl. Eng..

[20]  Peter J. F. Lucas.  Bayesian model-based diagnosis , 2001, Int. J. Approx. Reason..

[21]  Shahin Hashtrudi-Zad,et al.  A hybrid architecture for diagnosis in hybrid systems with applications to spacecraft propulsion system , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[22]  Xiang Li,et al.  Risk assessment model based on multi-agent systems for complex product design , 2015, Inf. Syst. Frontiers.

[23]  Lida Xu,et al.  Object-Oriented Templates for Automated Assembly Planning of Complex Products , 2014, IEEE Transactions on Automation Science and Engineering.

[24]  Ashok K. Goel,et al.  Understanding Drawings by Compositional Analogy , 2007, IJCAI.

[25]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[26]  Khashayar Khorasani,et al.  A Dynamic Neural Network-based Reaction Wheel Fault Diagnosis for Satellites , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[27]  Lida Xu,et al.  Extended Interference Matrices for Exploded View of Assembly Planning , 2014, IEEE Transactions on Automation Science and Engineering.

[28]  Ashok K. Goel,et al.  Analogical recognition of shape and structure in design drawings , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[29]  K. Khorasani,et al.  A novel fault-tree approach for identifying potential causes of satellite reaction wheel failure , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[30]  Maria Cristina Pattuelli.  Teachers' perspectives and contextual dimensions to guide the design of N.C. history learning objects and ontology , 2008, Inf. Process. Manag..

[31]  Huajun Chen,et al.  The Semantic Web , 2011, Lecture Notes in Computer Science.

[32]  Hao Chen,et al.  A Novel Human–Machine Collaborative Interface for Aero-Engine Pipe Routing , 2013, IEEE Transactions on Industrial Informatics.

[33]  Tetsuo Tomiyama,et al.  Functional Reasoning in Design , 1997, IEEE Expert.

[34]  Wenjun Chris Zhang,et al.  Towards a novel interface design framework: function-behavior-state paradigm , 2004, Int. J. Hum. Comput. Stud..

[35]  Adalberto Américo Fischmann,et al.  Is your vision consistent?: A method for checking, based on scenario concepts , 2008 .

[36]  Lei Liu,et al.  Focusing on Function: Thinking below the Surface of Complex Natural Systems. , 2008 .

[37]  Lida Xu,et al.  Enterprise Information Systems Architecture—Analysis and Evaluation , 2013, IEEE Transactions on Industrial Informatics.

[38]  David P. McKinley.  Development of a Nonlinear Probability of Collision Tool for the Earth Observing System , 2006 .

[39]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[40]  H. Wang,et al.  A multi-agent-based model for a negotiation support system in electronic commerce , 2007, Enterp. Inf. Syst..

[41]  John G. Breslin,et al.  Semantic Web computing in industry , 2010, Comput. Ind..

[42]  Amitabh Barua,et al.  Intelligent and learning-based approaches for health monitoring and fault diagnosis of RADARSAT-1 attitude control system , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[43]  Xiaojun Duan,et al.  Systems Science: Methodological Approaches , 2012 .

[44]  Juan Carlos Augusto,et al.  Editorial: Inaugural issue , 2009, J. Ambient Intell. Smart Environ..

[45]  Christos Goumopoulos,et al.  Ontology-based modeling of dynamic ubiquitous computing applications as evolving activity spheres , 2009, Pervasive Mob. Comput..

[46]  Zhuming M. Bi,et al.  Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability , 2011 .

[47]  David S. Cochran,et al.  Big data analytics with applications , 2014 .

[48]  Alexandra I. Cristea,et al.  What can the Semantic Web do for Adaptive Educational Hypermedia? , 2004, J. Educ. Technol. Soc..

[49]  Zhuming Bi,et al.  Support vector machine and ROC curves for modeling of aircraft fuel consumption , 2015 .

[50]  W. Sander,et al.  Experimental phased array radar ELRA with extended flexibility , 1990 .

[51]  H. Sofia Pinto,et al.  Ontologies: How can They be Built? , 2004, Knowledge and Information Systems.

[52]  P.K. Biswas,et al.  Architecting multi-agent systems with distributed sensor networks , 2005, International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005..

[53]  Patricia Morreale.  Agents on the move [mobile software agents] , 1998 .

[54]  Hong Wang,et al.  Knowledge management component in managing human resources for enterprises , 2012, Inf. Technol. Manag..

[55]  Ashok K. Goel,et al.  Compound Analogical Design: Interaction between Problem Decomposition and Analogical Transfer in Biologically Inspired Design , 2008 .

[56]  Brigitte Moench,et al.  Engineering Design A Systematic Approach , 2016 .

[57]  Youdan Kim,et al.  Attitude Estimation for Satellite Fault Tolerant System Using Federated Unscented Kalman Filter , 2010 .

[58]  Guilin Yang,et al.  Multidisciplinary Design Optimization in Engineering , 2013 .

[59]  Peter Mika,et al.  Microsearch: An Interface for Semantic Search , 2008, SemSearch.

[60]  Philippe Kruchten,et al.  Casting software design in the function-behavior-structure framework , 2005, IEEE Software.

[61]  Tetsuo Tomiyama,et al.  Supporting conceptual design based on the function-behavior-state modeler , 1996, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[62]  Ashok K. Goel,et al.  Structure, behavior, and function of complex systems: The structure, behavior, and function modeling language , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[63]  Lida Xu,et al.  Internet of Things for Enterprise Systems of Modern Manufacturing , 2014, IEEE Transactions on Industrial Informatics.

[64]  Hong Wang,et al.  Intelligent information processing in human resource management: an implementation case in China , 2006, Expert Syst. J. Knowl. Eng..

[65]  Xiao Hu,et al.  Multivariate change detection for time series data in aircraft engine fault diagnostics , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[66]  Pratik K. Biswas,et al.  Towards an agent-oriented approach to conceptualization , 2008, Appl. Soft Comput..

[67]  Steve Caplin,et al.  Principles Of Design , 2011 .

[68]  Lida Xu,et al.  Data Cleaning for RFID and WSN Integration , 2014, IEEE Transactions on Industrial Informatics.

[69]  Z. M. Bi,et al.  Modularity Technology in Manufacturing: Taxonomy and Issues , 2001 .

[70]  Kjeld Svidt,et al.  Future integrated design environments , 2009, J. Inf. Technol. Constr..

[71]  Adam Sweet,et al.  Li vingstone Model -Based Diagnosis of Earth Observing One , 2004 .

[72]  Lida Xu,et al.  AutoAssem: An Automated Assembly Planning System for Complex Products , 2012, IEEE Transactions on Industrial Informatics.

[73]  Khashayar Khorasani,et al.  Fault detection in spacecraft attitude control system , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[74]  Zhuming Bi,et al.  Sensing and responding to the changes of geometric surfaces in flexible manufacturing and assembly , 2014, Enterp. Inf. Syst..

[75]  Simon X. Yang,et al.  An intelligent agent with layered architecture for operating systems resource management , 2003, Expert Syst. J. Knowl. Eng..

[76]  Jang Gyu Lee,et al.  Federated Unscented Kalman Filter design for multiple satellites formation flying in LEO , 2008, 2008 International Conference on Control, Automation and Systems.

[77]  Timothy W. Finin,et al.  Enabling Technology for Knowledge Sharing , 1991, AI Mag..

[78]  Fei Tao,et al.  Internet of Things in product life-cycle energy management , 2016, J. Ind. Inf. Integr..

[79]  Jorge S. Cardoso.  The Semantic Web Vision: Where Are We? , 2007, IEEE Intelligent Systems.