5 results about "Correlation curve" patented technology

This invention relates to the field of data monitoring technology, specifically to an intelligent monitoring method for injection and pressure during groundwater remediation processes. The method involves: obtaining the degree of suspected anomalies based on the differences between data points and adjacent data points in a monitoring data sequence, and the discrete characteristics of the data points; identifying suspected anomaly points in the monitoring data sequence based on the degree of suspected anomalies; obtaining different continuous trend segments based on the temporal distribution characteristics and local data change characteristics of the suspected anomaly points in the monitoring data sequence; obtaining flow-pressure correlation curves based on the correspondence between flow and pressure in the continuous trend segments; and obtaining the degree of regularity in the distribution of flow and pressure based on the differences in the flow-pressure correlation curves of different continuous trend segments. This invention determines the recent flow and pressure status during groundwater remediation based on the degree of regularity in the distribution of flow and pressure, improving monitoring accuracy and reducing the impact on the groundwater remediation process.

A signal synchronization method includes sequence interpolation correlation synchronization, detecting the position of the maximum peak and the maximum value R xy (max); selecting correlation sample values on both sides of the maximum peak, linearly fitting the points on both sides, and the intersection of the two fitted straight lines as the predicted optimal synchronization point; selecting points on both sides of the predicted position as target synchronization position candidate points, cutting the target signal for channel estimation, calculating the channel equivalent SNR of different target positions; selecting the position with the maximum SNR as the final synchronization position; the above signal synchronization method is based on the shape of the correlation curve to predict the synchronization position, the sequence interpolation correlation synchronization method finds the approximate position of the peak, the left and right data of the correlation curve are linearly fitted, the intersection of the two fitted straight lines is the predicted optimal synchronization position, and then within a small range on both sides of the predicted position, the best synchronization point is further selected based on the quality of the channel response, which can improve the synchronization effect by 3-4 times.

This invention discloses a method for dividing a pre-set layer table for strip shape in a leveling mill, comprising: constructing an integrated simulation model of the rolling mill roll system based on the structure of a four-roll leveling mill; acquiring actual production data of the four-roll leveling mill; performing simulation calculations based on the actual production data and the integrated simulation model of the rolling mill roll system to obtain simulation big data; analyzing the simulation big data to obtain the correlation curves between various strip parameters and the secondary crown of the strip cross-section; and obtaining the optimal division scheme of the pre-set layer table based on the correlation curves between strip parameters and the secondary crown of the strip cross-section. This invention solves the problem of poor control accuracy of pre-set strip shape in the prior art, thereby significantly improving the strip shape quality of strip products.

The application provides a beam displacement regulation method and a beam displacement device. The method is applied to the beam displacement device, the beam displacement device comprises a plurality of cell structures which are sequentially and spacedly distributed along the same direction, and the method comprises the following steps: obtaining structure data of the cell structure and a working frequency of the cell structure; determining a transmittance and a transmission phase corresponding to the cell structure based on the structure data and the working frequency; determining a correlation curve between the incident angle, the transmittance and the transmission phase based on each incident angle, each transmittance and each transmission phase; and determining a transverse displacement corresponding to a preset adjustment mode of the incident wave in the cell structure by setting the cell structure as a second type of boundary condition for finite element simulation calculation based on the correlation curve and the incident wave of a preset incident wavelength incident to the cell structure of the preset adjustment mode. The complexity and cost of the regulation method are reduced, the regulation efficiency of the beam displacement is improved, and the transverse displacement is increased.

A method of characterizing a reservoir by automatic depth alignment of petrophysical logs, including: receiving a first and second correlation logs in a depth-domain; transforming, using a Fast Fourier Transform (FFT), the first correlation log in the depth-domain into a first frequency-domain log; transforming, using the FFT, the second correlation log in the depth-domain into a second frequency-domain log; determining, using the first and second frequency-domain logs, a correlation curve of the first and second correlation logs; determining, using the correlation curve, a correlation metric of the first and second correlation logs; determining, using the correlation curve, an alignment shift for the first and second correlation logs and a depth-corrected second correlation log by applying the alignment depth shift to the second correlation log; updating and evaluating the correlation metric after applying the alignment shift; and outputting the depth-corrected second correlation log to a subsequent process of reservoir characterization.