Research On Key Technologies Of Space Object Situation Cognition And Service

Space is becoming a strategic commanding point for countries,and competition is increasing.In order to maintain security and safeguard interests,and support activities in space,it is necessary to obtain the current operating status and control the future trend of space objects accurately and timely,that is,the space object situation(SOS).SOS cognition and service can extract knowledge from massive SOS data and information,and provide strong support for space decision making.Its research is of great significance for maintaining space security.In recent years,many important research achievements in SOS cognition and service have been completed.However,many problems remain unresolved in the research fileds of processing and fusion of multi-source heterogeneous data and integration and sharing of services as well as efficient analysis and unified cognition of complex elements in the dynamic spatial-temporal background.This article focuses on the key technologies of SOS cognition and service and has the following achievements and innovations:1.The domain ontology of SOS(SOSDO)is proposed and constructed to improve the global description and effective sharing of data,information and knowledge.By clarifying the main research objects,roles,and goals,SOSDO is constructed based on the hybrid ontology schema.Using the satellite ZY-3 2 as an example,the ontology instance and reasoning rules of SOSDO are constructed,with relevant knowledge on ZY-3 2 reasoned.2.The ontology-based SOS data service is established to realize the storage,integration and retrieval of multi-source heterogeneous data in SOS domain.Based on the hybrid SQL/No SQL concept,the SOS multi-source heterogeneous data storage method is realized for effective data management.After that,the mapping relations among underlying data,local ontology and global ontology are established.Finally,data and semantic retrieval are established to meet the dynamic needs of SOS information in different application scenarios,which are verified by examples.3.The batch-and-streaming-oriented calculation model(BSOCM)for SOS is constructed for efficient analysis and processing in different application scenarios.Based on the Lambda architecture,the analysis framework for massive SOS data and the spatial-temporal-oriented processing model are designed and constructed.The improved area coverage analysis of remote sensing satellite and the optimized space object conjunction analysis are used as examples to verify BSOCM.Experimental results show that BSOCM can meet the computing power requirements for most SOS analysis tasks.4.In view of the acquisition of SOS knowledge,cognitive methods are proposed from different perspectives.First,the spatial-temporal ontology is used to model the complex spatial and temporal relations in SOS.Then,the orbit state cognitive model of SOS is constructed,with representations of orbit state change and various complex relations realized through the orbit state semantic model.By using the dynamic Bayesian network,the dynamic reasonings of the orbital state are solved.Next,based on Basic Formal Ontology,the behavior and event cognitive model of space objects is constructed,and the behavior and event of space objects are descripted,analyzed,and reasoned dynamically under the unified spatial-temporal framework.Finally,by using the parsing model of multi-level semantic relations and the construction model of multielement knowledge,the “data-information-knowledge” transformation is achieved,as well as a structural and formal representation of cognitive results based on knowledge graph.The simulation verifications and analysis results show that the cognitive models can effectively extract domain knowledge and realize cognition in a structured and formal method.5.SOS services based on microservice architecture are proposed,laying the foundation for SOS management,integration,and application of multi-source heterogeneous services and components.First,the SOS service and component ontology based on OWL-S is proposed.The semantic descriptions of services and components and their relations are achieved through semantic web service,and the discovery,sharing,and dynamic combination of services are used to construct complex SOS analysis functions.Then,based on microservice architecture,the deployment,management and integration of multi-source heterogeneous algorithms,components and services are achieved through the distributed computing environment and unified access interface.Finally,based on the visualization components,the expressions of cognitive results of SOS are constructed.6.By comprehensively integrating existing research results,the prototype system of SOS cognition and service(SOSKS)is designed and developed independently.Applications of SOSKS are described from the aspects such as of multi-source heterogeneous data management,information visualization,situation cognition and reasoning,and multi-source heterogeneous function management.Simultaneously,the practical applications of SOSKS in projects are introduced.Preliminary application results show that SOSKS can provide powerful data,information and knowledge support for SOS cognition and service,and is expected to provide platform support for Chinese space activity decision-making.