Simulation method and system for transmission efficiency of drilling platform lifting unit based on filtering

Abstract

The invention provides a simulation method and system for transmission efficiency of an elevating unit of a drilling platform based on filter. The method comprises following steps: (1) three-dimensional modeling: modeling a transmission device for elevating unit of the drilling platform; (2) modeling processing: importing a model to an Adams mechanical system and to process the model; (3) simulation analysis: simulating a virtual prototype and outputting virtual data to a text file; (4) low-pass filtering: establishing a low-pass filter used for carrying out low-pass filtering operation on all simulation data and making average calculations of an output result of the low-pass filter; (5) calculations of transmission efficiency: calculating average value of all simulation data to make calculations of transmission efficiency of gears in order to obtain efficiency curves. The simulation method and system for transmission efficiency of the elevating unit of the drilling platform based on filter have following beneficial effects: different from a conventional evaluation criterion of data discretization degree in the prior art, influence on data points with great discretization degree is lessened and data information with lower discretization degree is highlighted; anti-interference performance is improved during a calculating process and the obtained efficiency curve result is more suitable to the reality.

Description

technical field [0001] The invention relates to the technical field of drilling platform simulation, in particular to a filter-based simulation method and system for the transmission efficiency of the drilling platform lifting unit. Background technique [0002] At present, the use of multi-body dynamics analysis software can simulate the model of the planetary gear mechanism of the drilling platform lifting unit, and obtain the input / output speed and input / output torque of the gear mechanism, but the contact caused by the collision and meshing of the gear teeth Due to force changes and errors in numerical calculations, the obtained simulation data fluctuates and there are several extreme points. [0003] In the existing technology, a set of simulation data points is obtained by sampling once in a certain period of time, and then the obtained multiple sets of discrete data points are fitted by the least square method to obtain an efficiency curve. The disadvantage of the le...

AI Technical Summary

Problems solved by technology

The disadvantage of the least squares method is that it treats all data equally. The point with a greater degree of data dispersion will have a larger difference from the average value, and it will be further enlarged after squared; the point with a smaller degree of data dispersion will have the opposite effect. Therefore, the least squares method is more Affected by the extreme points, there is a problem that the evaluation standard for the degree of data dispersion is single, the results obtained are inconsistent, and the simulation effect is not ideal.

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