An intelligent control method and system for a physical model test process

Abstract

The invention discloses an intelligent control method and system for a physical model test process. By setting corresponding storage trigger conditions in the control server, invalid data is filtered, the burden on the database is reduced, and excessive storage of test data is avoided; the storage time is set, In order to ensure the amount of test data and the integrity of the data; and set the corresponding judgment conditions for the failure condition test in the control server, and also connect to the remote visualization terminal for real-time data interaction with it, and the remote visualization terminal will receive it The data is statistically analyzed, and engineers can monitor the site in real time through the corresponding remote visualization terminal at any time, and perform feedback control on the site according to the corresponding statistical analysis results.

Description

technical field [0001] The invention relates to the technical field of intelligent control of physical model experiments, in particular to an intelligent control method and system for a physical model test process. Background technique [0002] Suspension tunnel SFT (Submerged Floating Tunnel) is a large-scale cross-sea traffic structure suspended in water. In the future, it will be an important way to solve major transportation projects such as fjord crossing and deep-sea passage, and has important strategic significance for leading the future development of transportation in my country. The research on floating tunnel engineering technology will use mathematical models, physical models, theoretical analysis, design evaluation and other means to carry out a series of topics such as hydrodynamics and structures, anchoring systems, connecting structures, engineering materials, construction methods and equipment involved in floating tunnels. It is planned to form a number of b...

AI Technical Summary

Problems solved by technology

However, the existing hydrodynamic test methods for floating tunnels only rely on manual judgment and control the start and stop of data storage, which may easily cause the loss of some characteristic data or excessive collection of invalid data. The former will lead to distortion of test results, and the latter It may cause the data storage of the floating tunnel test to be overloaded, both of which are not conducive to the extraction of the final results of the floating tunnel test, and may even lead to the failure of the test; thus it is difficult to provide corresponding theoretical support for the construction of the floating tunnel project

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