Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

MEMS motion sensor based wave measurement method

A motion sensor and wave technology, applied in the direction of measuring devices, measuring the movement of open-air water sources, instruments, etc., can solve the problems of poor stability and reliability of measurement accuracy, reduced measurement accuracy of buoys, and poor ability of measurement accuracy to resist external factors.

Inactive Publication Date: 2015-11-18
STATE OCEAN TECH CENT
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The measurement of this type of buoy only depends on the motion parameters such as acceleration, and the measurement accuracy is directly determined by the noise level of the acceleration sensor. When the measurement error and measurement noise of the acceleration sensor suddenly increase due to some external factors, the measurement accuracy of the buoy will will suddenly decrease
Therefore, the measurement accuracy of wave buoys that only use motion parameters such as acceleration has poor ability to resist the influence of external factors, and the stability and reliability of measurement accuracy are also poor.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • MEMS motion sensor based wave measurement method
  • MEMS motion sensor based wave measurement method
  • MEMS motion sensor based wave measurement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Combine below figure 1 A further description of the method of measuring waves based on MEMS motion sensors:

[0037] Firstly, the movement parameters (S1) of the buoy are collected by using the MEMS motion sensor in the buoy to collect the roll angle φ, pitch angle θ, yaw angle ψ of the buoy, and the buoy’s position in the ECEF (Earth-Centered, Earth-Fixed, Earth-Centered, Earth-Fixed) The three-dimensional motion velocity V in the coordinate system 1 , V 2 , V 3 , three-dimensional motion acceleration a 1 、a 2 、a 3 , three-dimensional motion angular velocity A total of 12 buoy motion parameters; then the combination of buoy motion parameters to calculate the original wave direction spectrum (S2) is based on the 12 buoy motion parameters output by the MEMS motion sensor, constructing 7 combinations, the first combination is determined by the three-dimensional motion velocity V 1 , V 2 , V 3 Composition, implement the classic wave spectrum analysis method to fi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an MEMS (micro-electro-mechanical system) motion sensor based wave measurement method. Specifically, an MEMS motion sensor is mounted in a buoy to acquire various motion parameters of the buoy, an ocean wave directional spectrum is obtained according to the motion parameters, and then wave parameters can be calculated. The wave measurement method consists of: acquiring the buoy motion parameters, i.e. acquiring the roll angle phi, pitch angle theta, yaw angle psi and three-dimensional motion speed of the buoy in an ECEF coordinate system with the MEMS motion sensor in the buoy; combining the buoy motion parameters and calculating an original wave directional spectrum, i.e. constructing 7 combinations according to the acquired 12 buoy motion parameters to calculate the original wave directional spectrum; calculating the wave directional spectrum by coefficient weighting, i.e. performing coefficient weighting on the original wave directional spectrum of the 7 combinations so as to obtain the sea wave directional spectrum; and calculating the wave height, wave period, wave direction and other ocean wave parameter information. The wave measurement method provided by the invention is simple, and has stable and reliable wave measurement accuracy, thus having very broad application prospect.

Description

technical field [0001] The invention relates to ocean wave measurement technology, in particular to a method for measuring ocean waves using a MEMS motion sensor. Background technique [0002] Ocean wave data is one of the most important elements of marine environment observation. There is a huge demand for wave measuring instruments in many fields, such as wave operational observation and forecasting, marine disaster emergency observation, ocean energy resource investigation, and long-term marine climatology research. [0003] The wave buoy has very good wave-following characteristics, and it is currently one of the most widely used ocean wave measuring instruments. The traditional wave buoy is to install an acceleration sensor inside, and calculate the wave parameters according to the motion acceleration of the measured buoy. The measurement of this type of buoy only depends on the motion parameters such as acceleration, and the measurement accuracy is directly determined...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01C13/00
CPCG01C13/002
Inventor 齐占辉张锁平李明兵党超群
Owner STATE OCEAN TECH CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products