Research On Support Technology Of The Time And Space Consistency In Virtual Test

Time-space consistency is the foundation of guaranteeing the authenticity and the effectiveness of virtual test. With the development of the virtual test technology,the models, such as cross-range, cross-regional integrated test and parallel multisystem make time-space inconsistency become one of the most prominent problem in virtual test. Considering this, studying the relevant methods to solve the problem of time-space inconsistency in virtual test and putting forward efficient support technology has profound theoretical significance and practical value to ensure the authenticity and the effectiveness of virtual test. Based on the study of existing related notion of time-space consistency in the simulation field, this dissertation defines the evaluation model of time-space consistency in virtual test and the research work of time-space consistency support technology emphasis on data filtering technology, state prediction technology and data distributed mechanism,the specific content is as follows:Current typical data filtering technology suffer from a severe performance degradation with the growing scale and complexity of the systems. In order to improve the efficiency and the dynamic performance of data filtering technology under the content-based publish/subscribe mechanism, an efficient event matching algorithm, DOCO(Double Combination Matching Algorithm) is proposed, Via assembling the attributes appearing in the attribute space in pairs, DOCO builds up multiple double-combined attribute domains. The speed of event matching is improved through the filtering ability of the double-combined attribute domains.Experimental results show that this method can effectively shorten the time of event matching, improve the dynamic performance of the system and avoid the time-space inconsistency caused by transmission delay and data loss resulting from spatial, improve the time-space consistency of system.In order to solve the time-space inconsistency caused by transmission delay and data loss, this dissertation emphasis on the Dead Reckoning model and the grey multi-variable MGM model. By using historical status to predict the state of entities on the moment or the future, the state prediction model can compensate for the difference of state of the same entity between the test nodes. Experimentalresults show that the dead-reckoning model can provide higher accuracy in the high-frequency information transmission, the MGM model is better to deal with the prediction of entity that has complex moving states or has mutation in moving states. The two kinds of prediction model can effectively compensate the timespace inconsistency caused by transmission delay and data loss of time and space,improve the system of space and time consistency.The available data distributed mechanism only support information interaction in single node. In order to improve the efficiency of data distribution, a distribution mechanism based on SDO attribute property domain is presented manage the large quantities of data during the interaction process. Experimental results show that the mechanism can improve the efficiency of data transmission by inserting the updated SDO attributes into the SDO attribute property domains and avoid transmission delay and data loss resulted by network blocking, reducing the probability of time-space inconsistency.The time-space consistency support technologies are integrated on the HITTENA information architecture. The test environment is set up to further verify the performance of the time-space consistency support technology. Test results show that the time-space consistency support technology used in this paper can improve the time-space consistency of system.