Under the background of the test equipment adopting the generalized platform hardware environment, an automatic test system design implementation method is proposed, which will divide the test resource information into test elements such as device library, ICD library, use case library, etc., and refer to the test standard to describe the characteristics and test elements of the language ATML. Classify test case descriptions as standard incentive response commands and use common test software to complete the automated testing process. The automatic test system integrates key test elements such as test data, test strategy and requirements, test steps, test results management, and provides the overall system structure resources, test description, test results, configuration information, public information, etc., and solves a series of problems brought about by manual detection and maintenance.
Safety test has an important impact on the suspension management system, this paper starts from the top-level requirements of the product under test, according to the functional performance characteristics of the suspension management system, to identify possible factors affecting safety, design-related tests to verify, so as to improve product safety. Based on the definition of weapon security of suspension management system, based on the existing demand analysis model and theoretical methods to extract the top requirements of suspension management system and product safety design requirements, combined with the actual project testing experience, build a suspension management system weapon security demand analysis method, Combined with specific test project analysis of the actual use scenario of the product under test, testers can use this analysis template to quickly identify the key safety-related events in the product under test, form specific test requirements and design test cases.
In order to solve the inconvenience caused by the difference of hardware and software test resources during product testing, realize instrument interchange, meet the rapid change characteristics of test demand and rapid deployment requirements, this paper studies the construction method of a distributed test environment, adopts a fixed general test platform in hardware, and drives Heterogeneous hardware interface standardization technology (middleware technology), isolation module differences, to solve the different manufacturers to the module replacement to bring compatibility problems. Software adopts the design principle of layered software, connecting test elements such as device libraries, ICD libraries, use case libraries, etc. through the use case design layer, resource allocation layer, and hardware environment layer, and through XML between elements Exchange data information, interact with database information via Ethernet, and complete the automatic testing process. Each software runs independently on multiple test devices in the test environment, enabling the automatic execution of corresponding actions or automatically generating the test case software code through XML file.
KEYWORDS: Data communications, Data acquisition, Data modeling, Logic, Reliability, Control systems, Printing, Electro optics, Weapons, Analytical research
A 1553B bus test scheme is proposed for different types of airborne environments. The program is applicable to the SMS avionic bus and weapon bus (1553B) testing. The testing process includes analysis of the underlying hardware drivers and upper application software. The complete data flow testing process truly reflects the performance of the SMS products in the actual airborne communication environment. The test steps follow the five steps: forming a test environment, formulating test data protocols, configuring test data, writing test software, and analyzing and comparing test data. This article focuses on three key steps of how to develop a test data protocol, configure test data, and write test software. Finally, the feasibility of the test method was verified through a project example.
In this paper, subjective and objective image quality evaluation algorithms are reviewed, and point out the disadvantages of these algorithms. Aim at infrared image and human visual system, a non-reference image quality objective evaluation algorithm based on neural network is proposed, which is optimized from histogram, information entropy and wavelet transform algorithms. According to NIIRS, the algorithm is optimized after a lot of machine study works have been done. The experiment results are very similar with the results from NIIRS, a fast algorithm for image quality evaluation is implemented.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.