An Ontology-Based Product Testability Model Construction Method

Abstract

The invention relates to an ontology-based product testability model building method. The method provides an ontology-based testable model construction method, which ensures information sharing and interoperability in the process of testable design and smooth implementation of testable work. This method analyzes the physical entities and data entities in the product testing environment and the relationship between them, and establishes the product testability model in a spiral way, which can not only enhance the rationality and integrity of the model, but also improve the Model quality. Based on unified standards, the model realizes the standardized description of product life cycle information structure and information exchange process, and has the characteristics of openness and scalability. Using the ontology modeling language to encode the established testability model can be automatically recognized by the computer, which can effectively support the automatic retrieval and logical reasoning of information, and realize the sharing and interoperability of information in the process of product testability design.

Description

An Ontology-Based Product Testability Model Construction Method technical field The invention relates to a testable model building method for testable design in the field of testable engineering, in particular to an ontology-based testable model building method. Background technique Testability refers to "a design feature that a product can promptly and accurately determine its status (workable, non-workable, or degraded) and effectively isolate its internal faults." A testability model is a graphical or mathematical model used for product testability analysis, design and optimization. In the whole life cycle process of complex products, a large amount of information exists and is continuously generated. This information is distributed in different disciplines and exists in different carriers. The types and structures are quite different, and its uncertainty and heterogeneity lead to information islands. The existence of information brings difficulties to the sharing and...

AI Technical Summary

Problems solved by technology

However, as a graphical model, the multi-signal flow diagram model only reflects the structure and functional composition of the product, as well as the relationship between failure modes and tests, and is based on meeting the needs of product early testability analysis and design.

With the deepening of the testability design process, the multi-signal flow diagram model cannot process information such as test resources and resource occupancy relationships, product reliability and maintenance data, technical data, personnel and training and their relationships, and it is difficult to effectively support products. Design for Test during the life cycle

(2) The existing model lacks a unified standard for information description and integration methods, and cannot fundamentally eliminate "information islands", and the description of the relationship between various types of information is not clear, and there is a lack of information hierarchy and static structure. description, difficult to expand

However, since these two models cannot express the semantics of information, in this case, it is difficult to accurately provide users with the information they are interested in, and information retrieval can only be performed based on keywords, but semantic retrieval cannot be performed, resulting in the accuracy of information retrieval. The accuracy and recall rate are low, which brings difficulties to information sharing and interoperability, and cannot effectively support life-cycle activities, and further technical breakthroughs are still needed

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