A Spacecraft Test Data Extraction Method Based on Combination Rule Constraints

Abstract

The invention discloses a combination rule constraint-based spacecraft test data extracting method. The method comprises the following steps of firstly, providing a universal expression form of a test data extraction constraint rule, wherein the test data extraction constraint rule consists of a premise item, a condition item and a delay item, and converting character description of a constraint condition to be described and expressed in a digital form and a logic form; on the basis of the combined rule expression form of the description constraint condition, providing an algorithm flow used for extracting target data from a test database, so that appearing times in the same test process with months of time can be selected, and effective data of each time can be extracted. Compared with traditional data search technology, the method has the advantages that a sectional distribution time interval of target test data can be quickly positioned by processing the combined constraint rule by the method, and the target test data is searched from each sectional time interval in the searching way which takes the time as the basis, so that data research workload within a non-related time interval is reduced, and the efficiency of data extraction work is greatly improved.

Description

technical field [0001] The invention relates to a method for collecting spacecraft test data, in particular to a method for extracting spacecraft test data based on combination rule constraints. Background technique [0002] In recent years, the design level and technology of spacecraft have developed rapidly, and the types and types of spacecraft have been continuously updated. Updates, spacecraft subsystems are gradually increasing, and system functions are becoming more and more complex. With the complexity of spacecraft design functions and diversification of indicators, the requirements for the evaluation of spacecraft ground test data are also greatly increased. [0003] In the interpretation of spacecraft comprehensive test data, it is often necessary to compare and interpret the functional performance of a single machine under the same test state, and to interpret the functional performance consistency and stability of the same test item, test process or test event ...

AI Technical Summary

Problems solved by technology

At present, the existing basic data extraction methods use time as the query condition, and the query form is generally "the value of the parameter P between time t1 and time t2". Local positioning and extraction of test data under specific conditions, such as the test data of the same test state or process of the spacecraft in different test periods, often requires manual judgment to filter the target data, which seriously affects the completeness and rapidity of data extraction

Images