Six-degree-of-freedom motion track data processing method of drop test pre-embedded sensor

Abstract

The invention discloses a six-degree-of-freedom motion track data processing method of a drop test pre-embedded sensor. The method comprises building a reference system corresponding to object motion based on the ground, building a coordinate system corresponding to object motion based on a drop test pre-embedded sensor, collecting voltage data of monitoring points on the object in the coordinate system in object motion, transforming the voltage data into mechanical data, respectively transforming linear acceleration values of the object monitoring points on all axes of the coordinate system into linear acceleration components of the object monitoring points on all the axes of the reference system, calculating the sum of the linear acceleration components of the object monitoring points on all the axes in the reference system to obtain linear acceleration values of the object monitoring points on all the axes in the reference system, transforming the linear acceleration values into linear acceleration values of the object centroid on all the axes of the reference system, carrying out time integration to obtain centroid linear acceleration values and displacement components of the object centroid on all the axes of the reference system, and drawing a time-history function and a displacement function in object motion. The method has scientific universality and can be widely used in rockfall disaster research.

Description

technical field [0001] The invention relates to a motion track data processing system, in particular to a six-degree-of-freedom motion track data processing method of a drop test embedded sensor. Background technique [0002] The trajectory of multi-degree-of-freedom movement is complex and changeable, and objects will collide multiple times during the movement, which will easily lead to great randomness in the measurement data. Therefore, it is difficult to directly record and track with related instruments, for example: the movement trajectory of falling rocks along the mountain, Difficult to track directly. [0003] At present, in order to study the trajectory of multi-degree-of-freedom, acceleration is usually used to deduce the trajectory of multi-degree-of-freedom objects in the whole process. The frequency of data acquisition within a certain period of time is at least 20kHZ. In order to obtain the accurate trajectory of the object, it is necessary to study the mutua...

AI Technical Summary

Problems solved by technology

[0002] The trajectory of multi-degree-of-freedom movement is complex and changeable, and objects will collide multiple times during the movement, which will easily lead to great randomness in the measurement data. Therefore, it is difficult to directly record and track with related instruments, for example: the movement trajectory of falling rocks along the mountain, Difficult to track directly

[0003] At present, in order to study the trajectory of multi-degree-of-freedom, acceleration is usually used to deduce the trajectory of multi-degree-of-freedom objects in the whole process. The frequency of data acquisition within a certain period of time is at least 20kHZ. In order to obtain the accurate motion trajectory of the object, it is necessary to study the mutual influence and restriction relationship between the parameters of multiple degrees of freedom, which is currently difficult to achieve.

Images