Intelligent knowledge fusion platform for mechanical hydraulic product test of turboshaft turboprop engine

Abstract

The invention discloses an intelligent knowledge fusion platform for a mechanical hydraulic product test of a turboshaft turboprop engine. The platform comprises a distributed mass test data storage mechanism, a data warehouse-text knowledge fusion mechanism and a system plug-in function enhancement mechanism. On the basis of distributed mass data storage, a flexible and extensible distributed storage scheme is provided for mass data generated by a test; on this basis, mass data is organized through a data warehouse, and based on data warehouse-text knowledge fusion, unstructured text data and structured mass data stored in the data warehouse are linked in a URL form, so that unstructured and structured fusion is realized; through a system plug-in function enhancement mechanism, a function of adding and updating a decision algorithm at any time is realized. The technical problems of storage, management and query of mass test data of products are solved, data support is provided for a decision algorithm, and expansion and dynamic updating of system functions are achieved.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to an intelligent knowledge fusion platform for testing mechanical hydraulic products of a turboshaft turboprop engine. Background technique [0002] At present, there are the following core problems in the test of turboshaft / turboprop engine mechanical hydraulic products: [0003] 1) The process of debugging, troubleshooting and long-term testing of the product mainly relies on the experience of the operator, and the data generated in these processes has not been effectively used, resulting in a long debugging cycle, deep-seated products, and systematic faults that cannot be located and cannot be fixed. identifying issues such as early warning signs; [0004] 2) The test data volume of turboshaft / turboprop engine mechanical hydraulic products is very large. Taking the long-term test data as an example, the data of a long-term test may include hundreds or even thousan...

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Problems solved by technology

[0003]1) The debugging, troubleshooting and long-term testing of the product mainly rely on the experience of the operator, and the data generated in these processes have not been effectively used, resulting in Problems such as long debugging period, deep-seated products, inability to locate systemic faults, and inability to identify early warning signals;

[0004]2) The amount of test data for turboshaft / turboprop engine mechanical hydraulic products is very large. Taking the long-term test data as an example, the data of a long-term test may include hundreds or even hundreds of Thousands of hours of information, the amount of data reaches GB or even TB levels, and traditional databases cannot meet the requirements in terms of capacity, scalability, and query speed;

[0005]3) With the increase of data and the continuous deepening of data use, new decision-making needs will continue to emerge, and new decision-making knowledge needs to be extracted, while the traditional platform system architecture It is relatively fixed, and the function of adding and adjusting functions according to new requirements is relatively weak

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