In this paper, a novel fiber turbine flow sensor was proposed and demonstrated for liquid measurement with optical fiber, using light intensity modulation to measure the turbine rotational speed for converting to flow rate. The double-circle-coaxial (DCC) fiber probe was introduced in frequency measurement for the first time. Through the divided ratio of two rings light intensity, the interference in light signals acquisition can be eliminated. To predict the characteristics between the output frequency and flow in the nonlinear range, the turbine flow sensor model was built. Via analyzing the characteristics of turbine flow sensor, piecewise linear equations were achieved in expanding the flow measurement range. Furthermore, the experimental verification was tested. The results showed that the flow range ratio of DN20 turbine flow sensor was improved 2.9 times after using piecewise linear in the nonlinear range. Therefore, combining the DCC fiber sensor and piecewise linear method, it can be developed into a strong anti-electromagnetic interference(anti-EMI) and wide range fiber turbine flowmeter.
Soldiers have closer relationship with the exoskeleton robots, which offer the power to help walking and further enhance the capacity and speed of motion with heavy load or long-time motion. One of the core technologies of the exoskeleton robots is human motion sensing technology.In this paper, the IntelliSense technology of exoskeleton robot is deeply analyzed, including an optical fiber motion capture system to capture human motion gesture, the EEG measurement system to predict the direction of human motion, and the EMG perceptual system to identify the pattern of human motion. This design can improve the pattern recognition rate by combining the EEG and EMG; meanwhile, the human movement is followed precisely by combining the fiber motion capture system with the exoskeleton robot hydraulic driving device.
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