Development and Validation of Integral Algorithms Based on Data Resampling Techniques

Accurate acquisition of displacement signals is of great importance in the field of engineering research, but displacement transducers have harsh requirements for testing conditions, which cannot be implemented in many cases, and it is relatively convenient to adopt the method of using acceleration transducer testing and integrating twice to obtain displacement signals. In the acceleration integration, the trend interference term will appear, which leads to a serious reduction in the integration accuracy. To address this problem, this paper proposes a full calculus algorithm based on data reconstruction technology to achieve real-time calculus conversion in the dynamic signal measurement process, and a comparison test is carried out in the laboratory through actual experiments to verify the effectiveness and reliability of the integration algorithm. Based on the above, the algorithm is used to conduct field tests on a bridge and the vertical motion of wave floats, and the test results show that the algorithm can effectively solve the integral signal offset, and the actual results are in good conformity. Based on this technology, the acceleration, velocity and displacement signals of vibration can be obtained continuously and in real time for a long time with only acceleration sensors, which solves the problem of signal calculus conversion in engineering, and can be widely applied to the motion of ships in waves, displacement of vibrating objects and other test scenarios.