2results about How to "Accurate coupling" patented technology

The application discloses an intelligent collaborative control method for high-temperature-impact coupling test, and belongs to the technical field of civil engineering structure test and intelligent control. The method collects the temperature of a test piece, the running state of a heating device and the preparation state of an impact loading device in real time; determines an effective characteristic temperature according to the temperature of multiple measuring points, calculates the predicted withdrawal duration of the heating device and the predicted falling duration of an impact body; predicts the temperature at the impact contact moment based on the pre-labeled temperature attenuation law, collaboratively determines the withdrawal trigger moment and the release trigger moment; after the withdrawal is completed, dynamically corrects the attenuation coefficient based on the actual withdrawal duration and re-predicts the temperature, and accordingly corrects the release trigger moment; when the conditions are met, the impact body is released and test data is collected. The application takes the temperature at the impact contact moment as a control target, and through pre-prediction, collaborative decision and post-dynamic correction, the control precision of the impact instant temperature is significantly improved, and the repeatability, safety and reliability of the test are enhanced.

A method to obtain a near-infrared spectroscopy (fNIRS) cerebral signal (SCS) in a subject (1), comprising the steps of: placing a near-infrared emitter (2) and respective proximal and distal near-infrared detectors (3) on the skin of the head of the subject (1);during a baseline recording stage (t1) with the subject in resting-state, record near-infrared signals, the recorded signals comprising a baseline deep-signal (BDS) and a baseline shallow-signal (BSS); calculate a scaling factor (K) between the amplitude of the baseline deep-signal and the baseline shallow-signal at a given task-frequency (ft); with the subject undergoing a cyclic cerebral stimulation at the task-frequency during a stimulation recording stage (t2), record near-infrared signals, the recorded signals comprising a shallow-signal (SSS) and a deep-signal (SDS); and applying the scaling factor to the shallow-signal, calculating the cerebral signal at the task-frequency as the difference between the deep-signal and the scaled shallow-signal, at the task-frequency (ft).