42results about How to "The calculation method is simple and fast" patented technology

The invention discloses a device for measuring the deformation strain gradient of a component, which resolves the problems of the prior art that measurement equipment is complex in installation, highin cost and large in measurement result error when the deformation strain gradient of the component is measured. The system comprises a bending machine and a detection system, wherein the detection system comprises a strain gradient measuring unit, a data acquisition and sending unit and a back-end server. The gradient analysis software and background display BS framework software are written in the back-end server, and the rear-end server performs online implementation on receiving, storage, processing, analysis, alarm and visual displaying and the like of deformation strain gradient monitoring data of the component. The invention further discloses a method for measuring the deformation strain gradient of the component. According to the invention, only a simple grating material parametermeasurement test and spectral data analysis before and after component deformation are needed, so that more accurate structural member strain gradient data can be obtained through calculation, the calculation method is simple and rapid, and the method is mainly used for measuring the strain gradient of isotropic material components such as concrete and steel.

The invention discloses a method for predicting an inbound and outbound passenger flow of an urban rail transit station. The method comprises the steps of firstly, counting an average inbound and outbound passenger flow of an existing rail transit station on weekdays according to an automatic ticketing system; then, respectively obtaining built environmental elements within the range of 500 m at peripheries of the existing rail transit station and new rail transit station; establishing a regression model of the average inbound and outbound passenger flow data of the existing rail transit station on weekdays and the built environmental elements within the range of 500 m at the periphery of the existing rail transit station, and substituting the built environmental elements within the rangeof 500 m at the periphery of the new rail transit station into the regression model to obtain an average inbound and outbound passenger flow prediction value of the new rail transit station on weekdays. By use of the method for predicting the inbound and outbound passenger flow of the urban rail transit station, an influence of built environments at the periphery of the station on inbound and outbound passenger flows can be effectively analyzed, and further the passenger flow of the new rail transit station is predicted based on the influence.

The invention relates to a fast calculation method for volume fracturing of a tight oil reservoir for horizontal well stimulation, which includes: step 1: collecting production data and basic parameters required for calculation. Including the original pressure, comprehensive compressibility, porosity, and fluid volume coefficient of the formation; step 2, draw the relationship between normalized production and material balance time; step 3, use the pressure change formula in the depletion flow stage to calculate the reformed volume. The invention utilizes the linear flow stage production data to perform linear regression, and combines the linear flow flow equation to determine the permeability. The present invention directly uses the existing production performance data to draw the relation curve, and determines the reformed volume in combination with the pressure change formula in the depleted flow stage, without shut-in or curve fitting, and the calculation method is simple and fast.

The invention discloses a calculation method of an energy dissipation coefficient of subgrade filling under the uplift action of a foundation. The energy dissipation coefficient of the subgrade filling under the uplift action of the foundation is determined scientifically and rationally, and the needs of practical engineering design and construction are met. The calculation method comprises the following steps that (1), a trenching sand filling method or a trenching irrigation method or a nuclear densimeter method is used for determining the subgrade filling dry density [rho]d, indoor compaction experiments are used for determining the largest subgrade filling dry density [rho]dmax, and the compaction coefficient K of the subgrade filling is determined; (2), the reciprocal beta of a limitvalue of the 'compression effect' coefficient of the subgrade filling is determined; (3), the reciprocal alpha of the 'compression effect' coefficient of an initial tangent line of the subgrade filling is determined; and (4), the energy dissipation coefficient kappa of the subgrade filling under the uplift action of the foundation is determined.

The invention discloses an indoor ranging method, which uses a direction sensor set on an AR device to obtain the horizontal distance between its camera and a target object and the height of the target object, and superimposes it on the scene in the real world displayed by the augmented reality device. . The present invention only acquires the angle between the line connecting the camera to the bottom of the target and the intersection point of the ground and the vertical direction of the ground or the angle between the line connecting the camera to the intersection of the extension line of the target and the ground and the vertical direction of the ground, and the angle between the camera and the top of the target. The angle between the connection line and the vertical direction of the ground, the angle between the line connecting the camera to the bottom of the target and the vertical direction of the ground, and then according to the vertical distance between the camera and the ground, the Pythagorean theorem can be used to calculate the distance between the camera and the target The calculation method of the horizontal distance and the height of the target object is simple and fast, with a small amount of calculation and low cost.

The invention provides a grid harmonic detection method and a grid harmonic detection device. The grid harmonic detection method includes: step S11, obtaining an analog signal of AC power in the power grid to be tested, and performing discrete processing on the analog signal to obtain discrete data x(t); step S13, obtaining discrete data x(t) On the basis of superimposing multiple sets of different Gaussian white noise signals ωi(t), multiple sets of original signals Xi(t) are obtained, and multiple sets of original signals Xi(t) are subjected to empirical mode decomposition to obtain natural modes of each order function component; step S15, perform mean value operation on the intrinsic mode function components obtained by decomposing multiple groups of original signals Xi(t), and obtain the nth intrinsic mode function component cn(t); step S17, divide the nth intrinsic mode function The state function component cn(t) is substituted into a group of original signals X(t), and the harmonic decomposition result of the group X(t) is obtained. The calculation method of the invention is simple and quick, and the harmonic detection precision is high.