A Simulation Playback Method Based on Data Matching

Abstract

The invention discloses a data matching based simulation playback method for performing simulation data playback aimed at a high level architecture (HLA) based distributed simulation system. The method comprises the following steps of: performing integration on raw data of a simulation party plan in a database of the HLA distributed simulation system, and obtaining an N-element parallel data set about the simulation party plan, wherein each N-element parallel datum contains N elements; determining an outlier in the N-element parallel data set and removing the outlier, establishing a three-layer neural network structure of Kx(2K+1)xM, wherein K is the number of simulation time and object attribute values, and M is the sum of a critical event number and 1; determining the critical event number and sample data of the critical event number, and performing network training on the neural network; and sequentially inputting each N-element parallel datum into the trained neural network, obtaining an output result, screening out the N-element parallel data that belongs to the critical events, performing ranking according to the simulation time values, and obtaining a playback scheme for data playback.

Description

Technical field [0001] The invention belongs to the field of distributed simulation technology, and specifically relates to a simulation playback method based on data matching. Background technique [0002] In the actual development and application process of the distributed simulation system, accurate data recording and playback is an important basis for the engineering staff to carry out quantitative analysis and feasibility evaluation, especially in the actual application simulation process, recording the simulation objects at each moment The status and the interactive information between various simulation objects can provide VV&A (Verification, Validation and Accreditation) with accurate and fine-grained data. The recorded data can not only play a significant role in the debugging and correction of the simulation system, but also can fully reproduce the entire process, analyze the parameters for the engineers, and conduct a comprehensive evaluation of the correctness and eff...

AI Technical Summary

Problems solved by technology

[0003] Most of the research on simulation data recording and playback at home and abroad focuses on the research of data acquisition methods to improve the efficiency of data acquisition. For playback, only the whole process of panoramic playback can be realized, and the playback of specific scenes and specific segments is very limited.

Especially for large and medium-sized simulation systems with distributed simulation, there are many simulation members and the amount of data after the simulation is completed. If the playback of the whole process is not an efficient method, it cannot intuitively reflect the actual situation of the simulation in many cases.

For example, for an HLA (High Level Architecture) simulation system with eight federation members, the running time of each simulation is about two hours, but there are only a few actual effective segments and key events, and the playback of the whole process of 2 hours is not good. solution, wasting resources and time, and the playback efficiency is poor

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