30results about How to "Realize quantitative description" patented technology

The invention relates to a judging method of an incompactness defect in a node of a concrete structure by detection by an ultrasonic method. On the basis of the traditional method for detecting the concrete defect by the ultrasonic method, besides an acoustic velocity and a head wave amplitude, two variable acoustic parameters, namely a complex frequency difference and a cross-correlation coefficient, are added; each acoustic parameter is processed into an acoustic parameter judging factor and each acoustic parameter judging factor is processed into a normalized comprehensive acoustic parameter judging factor; a position detecting chromatogram is drawn out according to the comprehensive acoustic parameter judging factor; and the position and range of a suspicious defect are determined according to a red area in the chromatogram. By the method, the compactness quality distribution of concrete can be directly and accurately described; errors and judgment loss caused by adoption of a single acoustic parameter for judgment can be avoided or reduced; and the difficulty in final judgment when the judgment result of the single acoustic parameter is inconsistent is also avoided. The judging method can be widely applied to the judgment of the incompactness defect in the node of the concrete structure or other complex structures.

The invention provides a post-stack seismic inversion method and device. The method comprises the steps that synthetic seismic data are obtained according to an initial model of wave impedance and actual seismic data; the initial model of wave impedance is optimized according to the actual seismic data and the synthetic seismic data so that first optimal wave impedance is obtained; high-pass filtering is performed on the first optimal wave impedance so that the high frequency inversion result of wave impedance is obtained; the actual seismic data envelopment is obtained according to the actual seismic data, and the synthetic seismic data envelopment is obtained according to the synthetic seismic data; the initial model of wave impedance is optimized according to the actual seismic data envelopment and the synthetic seismic data envelopment so that second optimal wave impedance is obtained; low-pass filtering is performed on the second optimal wave impedance so that the low frequency inversion result of wave impedance is obtained; and a final inversion result of wave impedance is obtained according to the high frequency inversion result of wave impedance and the low frequency inversion result of wave impedance. With application of the post-stack seismic inversion method and device, the inversion accuracy can be enhanced and quantitative description can be realized in reservoir prediction.

The invention discloses a test device and method for quantitative research of water inrush from a coal seam floor. The test device comprises a test box and a data acquisition detection system, wherein a cylindrical cavity is formed in the test box, the top of the test box is connected with a pressure machine, a hole is formed in a top plate at the top, a connecting pipe is arranged above the hole, and the other end of the connecting pipe is connected with a liquid collecting bottle; a visual window is arranged at the front end of the test box and connected with the cavity through a bolt; the data acquisition detection system comprises a high-speed camera and a stress-strain gauge, the test process is shot by use of the high-speed camera, a shot picture is used for following research and used as a basis of experimental data, and the stress-strain gauge collects stress change information during loading. The test method is implemented as follows: the visual window is arranged on the test box, scales are marked on the visual window, and the water inrush condition of the coal seam floor is monitored through the high-speed camera. The purpose of quantitative description of an experiment achieved, and the high requirements for research on water inrush from the coal seam floor at the current stage are met.

The invention relates to a method for acquiring the airplane vertical occupancy rate. The method comprises the following steps: the acquired flight flow sample data is processed to obtain the data information of all flights; the position information of each way point of the flights on the flight line and the flight information of the flights to pass through each way point are extracted from the data information of each flight; two flights are compared in sequence according to the position information of the way point and the flight information of the flights to pass through each way point to determine the number of the flight pair with collision risk; and the vertical occupancy rate is determined according to the number of the flight pair with collision risk. The flight pair with collision risk does not depend on the individual empiric parameter value, and not adopt the direct statistical method for the complex parameter. Therefore, not only the accuracy of the calculated vertical occupancy rate is high, but also the use is simple and convenient, and the invention is convenient for engineering realization, is favorable for the quantitative description of busyness of the aerial traffic to realize, provides the accurate data basis for the airspace running analysis and the safety assessment, and has wide application prospect.

The invention relates to a method for analytic calculation of statistic characteristics of disturbance motions. Specific parameters of self-correlation and power spectral density functions of carrier motions through the steps of turbulence information extraction, self-correlation sequence calculation, self-correlation function fitting, power spectrum density calculation and the like are quantitatively given out, the power spectrum density of external turbulence frequency points can be directly calculated, the shortcoming that in the prior art, severe power spectral density peak and jumping cause inaccurate description of disturbance characteristics is overcome, quantified description of the carrier motion disturbance characteristics is achieved, the accuracy is high, and data is smooth. By adopting the method, the disturbance characteristics of the carrier motions can be accurately, simply and quantitatively worked out by adopting the numerical computation method.

The invention relates to a milling cutter designing method and a milling cutter, in particular relates to a method for designing a low-entropy and safe high-speed milling cutter and the high-speed milling cutter, and aims to solve the problems that the entropy cannot be controlled due to disordering of particle swarms of the milling cutter and the safety of the high-speed milling cutter is reduced. According to the characteristic that the disordering of the particle swarms of a high-speed milling cutter assembly is associated with the reducing of the safety, a safety reducing process is described by virtue of an entropy determination method; by virtue of an entropy model, a mesoscopic motion state is judged, and the safety reducing process is determined; by virtue of an entropy control method, a control variable for controlling the safety reducing process is revealed, and the disordering of the particle swarms can be effectively controlled; macroscopic and mesoscopic structure parameters are collaboratively designed by virtue of a low-entropy high-speed milling cutter safety designing method; the safety and stability of the low-entropy milling cutter are verified. The diameter of the milling cutter is 63mm, the number of tool teeth is 4, the tool teeth are unequally distributed, included angles between the teeth are 88 degrees, 89 degrees, 90 degrees and 93 degrees, the tooth root of a tool body is of a chamfer and transition circular arc structure, and a front blade installation angle is 2 degrees. The method is applied to milling cuter designing and high-speed milling.

The present invention provides a differential force spectroscopy analysis device for nanopores, comprising: a solution pool with an electrolyte solution containing biomolecules with a known base sequence; a dielectric membrane for accommodating a to-be-analyzed The nanopore separates the solution cell into two chambers; an electric field generator, which generates an electric field applied to the solution cell; and a control module for obtaining the residence time of each base of the biomolecule passing through the nanopore according to the current data, thereby determining the interaction between the nanopore and the biomolecule that can characterize at least one characteristic of the nanopore differential force distribution. The method and device of the present invention can quantitatively calculate the interaction between a single base and a protein with high precision, and further accurately determine the internal microstructural features of the protein.

The present invention provides a vibration transmission spectrum determination method of a rocket sled test, belonging to the mechanical environment test technology field. The method comprises the following steps: (1) measuring the acceleration magnitude sequences aIx(k) and aIy(k) of a device X and a device Y through a sensor; (2) taking the aIx(k) and aIy(k) as an input quantity, and obtaining the vibration value sequences adx(k) and ady(k) after the high-pass filtering; (3) calculating the power spectrum density sequences [phi]x(fp) and [phi]y(fp) of the adx(k) and ady(k); (4) performing noise reduction processing of the power spectrum density sequences [phi]x(fp) and [phi]y(fp), and obtaining new power spectrum density sequences [phi]'x(fp) and [phi]'y(fp); and (5) calculating the vibration transmission spectrums. The vibration transmission spectrum determination method of the rocket sled test can directly obtain the high-frequency vibration information and effectively remove the noise so as to analyze the vibration transmission characteristics.

The invention, which belongs to the technical field of deep space exploration, discloses an online planet landing trajectory optimization method based on a non-uniform expansion ellipsoid. On the basis of the complex topography and landform of the celestial body surface, a non-uniform expansion ellipsoid model is established in position space by combining a current position and a speed estimationerror of a detector; a dynamic space margin and a maximum dangerous direction vector are calculated by combining the e obtained non-uniform expansion ellipsoid model according to an on-board obstacledetection result, so that real-time evaluation of a landing risk is realized; a landing trajectory optimization problem is formed based on the dynamic space margin and the maximum dangerous directionvector and the problem is solved in a rolling time domain by using a model prediction method and thus a descending trajectory is generated, so that the obstacle avoidance capability of the detector under the condition of uncertain state is enhanced on the premise of ensuring the on-board calculation efficiency and thus a safe and accurate landing target is completed. Therefore, the online optimization of the planet landing trajectory can be realized; and the safety of the detector in the planet landing process is improved.

The invention discloses a user risk degree evaluation method and system based on log data of network security equipment. The method comprises steps of extracting a user dangerous behavior list from the user behaviors and the enterprise specifications; extracting dangerous behavior characteristics of the user from data such as a network security equipment user log according to the dangerous behavior list; training a Gaussian mixture model on each dangerous behavior of the user according to the dangerous behavior characteristics of the user, obtaining a user risk grading probability set, designing a user risk grading probability fusion method based on an evidence fusion theory, and determining whether the user has a behavior abnormal risk or not according to a risk probability fusion resultof the user. The method is simple to implement and low in calculation complexity, can effectively reduce the calculation resource overhead of behavior analysis in the user log, does not need any additional mark, only needs the data automatically recorded by the network security equipment, has the advantages of practical application, provides a risk degree evaluation method for unifying different user standards, and carries out decision-making judgment on high-risk users needing early warning at the same time.