15 results about "Correlation curve" patented technology

The invention discloses a fracturing monitoring analysis method, system, equipment and medium capable of eliminating interference, and the method comprises the steps: collecting pressure data and time data of a fracturing construction site, and obtaining a corresponding double logarithmic curve slope value of a time point; establishing a Cartesian coordinate system based on the time data and the corresponding double logarithmic curve slope value of the time point, and obtaining a correlation curve of the double logarithmic curve slope and the time; whether fluctuation interference exists in the construction pressure or not is judged according to the slope value of the double logarithmic curve corresponding to the time point, and when fluctuation interference exists, moving and translation processing is conducted on the fluctuating construction pressure to eliminate fluctuation interference; and after the fluctuation interference is eliminated or the fluctuation interference does not exist in the construction pressure, the crack extension state during fracturing construction is obtained according to the slope of the double logarithmic curve. Pressure fluctuation interference caused by vibration of the pressure pump can be effectively eliminated through movement and translation treatment, the extension state of the crack during fracturing construction is obtained in real time, and the accuracy of analysis and judgment of fracturing construction is improved.

The invention discloses a biological characteristic sample quality threshold determination method and device and a biological characteristic recognition method and device, and belongs to the field of biological characteristic recognition. According to the method, the mismatching rate is counted under the set mismatching rate level and different discarding rates, the relation between discarded low-quality biological characteristic sample pairs and the biological characteristic recognition performance is established, namely, the correlation curve of the discarding rate and the mismatching rate is established, and the sample quality threshold value under the set mismatching rate level is obtained according to the correlation curve. And a method for quantifying the quality intensity by the biological characteristic sample is provided. The sample quality threshold value is determined according to the parameters of the biological feature recognition performance and is related to the mismatching rate and the mismatching rate, and compared with a manually set sample quality threshold value, the sample quality threshold value has better reasonability and reliability.

The embodiment of the invention provides a method and a device for extracting and identifying white carbon black in rubber, and the method for extracting and identifying white carbon black in rubber comprises the following steps: crushing a rubber sample, and determining a crushed sample; performing impurity removal pretreatment on the crushed sample to determine a white carbon black sample; performing specific surface area test based on the white carbon black sample to determine a specific surface area test result; identifying and determining an identification result based on a specific surface area test result. White carbon black in the rubber material is extracted through the processes of cracking, firing, acid pickling and the like; a BET method and a CTAB method are used for respectively measuring and establishing a specific surface area correlation curve of the raw material white carbon black and the extracted white carbon black to reversely deduce the specific surface area level of the white carbon black used in the sizing material, so that the type of the white carbon black used in the sizing material is identified.

The invention discloses a rotating speed grading adjustment method based on opening and closing force, and belongs to the technical field of resource reutilization, and the method specifically comprises the steps: 1, obtaining the information of an overall device which comprises a front-end fan, a generator, a rear-end fan and an opening and closing mechanism, and obtaining the application scene information of the front-end fan, setting an allowable rotating speed interval of the front-end fan according to the acquired application scene information; step 2, carrying out acquisition simulation among the opening and closing mechanism, the generator and the front-end fan to obtain a simulation curve; 3, correcting the simulation curve to obtain a correlation curve; 4, grading the rotating speed of the front-end fan based on the obtained correlation curve, and marking a corresponding grading segmentation line in the correlation curve; and 5, the opening and closing force of the opening and closing mechanism is obtained in real time, the obtained opening and closing force is input into the correlation curve, the corresponding rotating speed grade is matched, and operation of the front-end fan is controlled according to the matched rotating speed grade.

The invention discloses a formation velocity profile exploration method and system based on a micro-motion technology, belongs to a geological exploration technology, and utilizes the micro-motion technology to carry out formation velocity profile exploration on a large physical model. According to the method, a plurality of single-component low-frequency detectors are arranged on a straight line, micro-motion data are obtained, screening and cross-correlation processing are carried out to obtain a correlation coefficient, a correlation curve is constructed, and a speed model is determined. Meanwhile, the active source data is subjected to frequency dispersion spectrum calculation, an initial model is determined, a simulated frequency dispersion spectrum curve is obtained, and the model is updated to determine a speed model. And generating a stratum velocity profile based on the velocity model and the spatial position of the large physical model. According to the method, the purpose of determining the formation velocity profile of the large physical model by using the micro-motion technology is achieved, the application range of the micro-motion technology is expanded, and the exploration accuracy is improved.

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.

The invention discloses a method for rapidly measuring the saponification value of rolling oil in emulsified liquid for cold rolling production, which comprises the following steps: preparing and measuring cold rolling oil standard samples with different saponification values in advance, and obtaining a correlation curve of the corresponding wave band number and absorbance; screening and recording correlation curves of the cold rolling oil standard samples with different saponification values; the method comprises the following steps: taking cold rolling emulsion for field production, filtering and removing smudginess; adding an organic solvent into the cold rolling emulsion, then stirring and mixing, performing centrifugal separation, taking clear liquid of an upper organic solvent phase, and performing negative pressure rotary evaporation to obtain a rolling oil sample to be detected; matching and fitting the correlation curves of the cold rolling oil standard samples with different saponification values with the correlation curve of the rolling oil sample to be detected one by one to obtain the saponification value of the rolling oil sample to be detected. According to the method, the saponification value of the rolling oil in the cold rolling emulsion can be rapidly obtained on site, and a proper amount of emulsion is supplemented to a cold rolling production unit in time.

The invention discloses a symbol synchronization position estimation method and system. The method comprises the following steps: generating a noiseless reference parabolic curve model under reference symbol deviation by using matlab simulation; generating an actual parabolic curve model according to the reference parabolic curve model; acquiring the acquired signals, and performing cross-correlation on the acquired signals and a local sequence to obtain a correlation curve; obtaining a peak value and a secondary peak value of a correlation peak in the correlation curve, respectively substituting the peak value and the secondary peak value of the correlation peak into the actual parabolic curve model, and establishing a quadratic function about the sampling deviation; and solving the quadratic function, and adding the solution of the sampling deviation and the reference symbol deviation to obtain a symbol synchronization position estimation value. According to the invention, only two sampling points are needed to realize the same performance as the existing method.

The invention discloses a division method suitable for a temper mill strip shape preset layer table. The division method comprises the steps that a rolled piece roller system integrated simulation model is constructed based on the structure of a four-roller temper mill; actual production data of the four-roller temper mill are obtained, simulation calculation is conducted on the basis of the actual production data and the rolled piece roller system integrated simulation model, and simulation big data are obtained; a correlation curve of each strip steel parameter and the secondary convexity of the strip steel cross section is obtained based on simulation big data analysis; and obtaining an optimal division scheme of the preset layer table based on the correlation curve of the strip steel parameters and the secondary convexity of the strip steel cross section. The problem that in the prior art, the plate shape presetting control precision of a temper mill unit is poor is solved, and therefore the plate shape quality of plate strip steel products is remarkably improved.

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.

The invention relates to the technical field of agricultural irrigation, and in particular to an intelligent irrigation system for uniform cultivation based on the Internet, comprising: a data acquisition module, used for collecting growth environment data of crops during their growth, and determining the temperature, humidity, light and soil moisture content of the soil in which the crops grow; a state monitoring module, used for determining the spraying amount and the change of growth environment data corresponding to each cultivation cycle during the growth of the crops, and obtaining a correlation curve between the spraying amount and the growth environment data; a curve analysis module, used for analyzing the correlation curve, determining the growth model of the crops under each preset environmental condition, and judging the water demand of the current crops, and generating irrigation instructions corresponding to the water demand; an instruction execution module, used for executing the generated irrigation instructions, and monitoring the change value of the growth environment data of the crops after the irrigation instructions are executed, thereby improving the sprinkler irrigation efficiency and the production efficiency.

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.

The present application relates to the porosity calculation method based on natural gamma spectrum and three porosity curves, belongs to the unconventional shale gas exploration and development technical field. The specific steps are as follows: step 1: using data statistics 'one' regression method, through the cross analysis of the porosity data of core analysis and acoustic time difference, density, neutron, uranium logging curves in the research area, the good correlation curve is selected as the modeling parameter; step 2: through the comparative analysis of the porosity modeling method of multiple combination modes; step 3: considering the differences of different structural belt reservoir burial depth and the differences of main evaluation parameters such as physical property, brittleness and gas content, the research area is further optimized and partitioned; step 4: using core data to scale logging curve, the porosity interpretation model based on natural gamma spectrum and three porosity curves is finally established. The method can effectively improve the porosity precision, and has important guiding significance for efficient development of shale gas.