30results about How to "Calculation results are intuitive" patented technology

The invention discloses a method for automatically measuring road curvature radius, which comprises the following steps: installing a CCD (charge coupled device) camera used for collecting a image of a corner at the top of the front end of a vehicle; connecting a computer arranged in the vehicle with the CCD camera through a USB (universal serial bus) 2.0 data line; receiving the image of the corner; extracting edges of a road through software in the computer; and figuring out the curvature radius of the corner through geometric algorithm and geometric transformation with the help of coordinates of three special points on edge lines of the road. According to the method for automatically measuring road curvature radius, the investment cost is little, the operation is simple, the detection is convenient, the computing results are visual and accurate, the measurement accuracy is high, and the measure can be carried out without tools such as a tape and the like.

The present invention provides a high-speed rail settlement hazard assessment method based on multi-source data integration, comprising the following steps: S1, using InSAR technology to collect ground deformation data, including collecting InSAR image data, optical remote sensing image data, hydrogeological data, two Leveling survey data; S2, preprocessing the data collected in step S1; S3, using PS‑InSAR+SBAS‑InSAR two time series InSAR technology to analyze and extract the ground deformation results; S4, for the settlement separation of the background area of ​​the high-speed rail line; S5 1. Use the MIC algorithm to assign weights to the hazard factors that affect the ground deformation; S6. Assessment of the hazard of land subsidence. The evaluation result of the high-speed railway subsidence hazard assessment method based on multi-source data integration tends to be a large-scale, fast, objective, economical and efficient land subsidence hazard assessment system to achieve long-term monitoring and ensure the safe development of the city , to reduce its threat to the economic security of life and property.

The invention provides a device and a method for automatically measuring driving sight distance before road turning. The method comprises the following steps: firstly, performing gray equalization, filtering and Sobel edge detection on an acquired image sequentially through an industrial personal computer, determining an interested area of the detected image, and performing threshold segmentation on the interested area by an optimal threshold value method to obtain a target area and a background area; secondly, acquiring a lane line equation of the target area; thirdly, extracting a calculation feature point of the driving sight distance on the lane line according to the lane line equation; finally, according to the pixel coordinate values of the calculation feature point of the driving sight distance, performing inverse perspective protection conversion to acquire the distance between the calculation feature point of the driving sight distance under the world coordinate system and the vehicle. The measuring method is simple in operation, convenient in detection, low in use cost, high in measuring precision and intuitive in calculation result, and manual measurement by a laser range finder, a measuring tape and the like is not needed.

The present invention discloses a signal self adaption envelope solving method based on optimal signal to noise ratio. The method comprises: obtaining signals to be processed comprising fault information and obtained through sampling a preset sampling frequency when a rotary machine performs fault monitoring; constructing a tree-shaped search structure, wherein the frequency band corresponding to each node in the tree-shaped search structure is obtained through calculation according to the preset sampling frequency and the number of each layer of the nodes; performing filtering processing of the signals to be processed according to the frequency band of each node, and obtaining the filtering signals corresponding to each node; performing envelope demodulation processing of the filtering signals, and obtaining the envelope solving signals corresponding to each node and an envelope spectrum thereof; calculating the signal to noise ratio of each envelope solving signal according to the envelope spectrum, and obtaining the signal to noise ratio corresponding to each node; and selecting the envelope spectrum corresponding to the maximum signal to noise ratio as an optimal envelope spectrum to facilitate analysis of the fault frequency and harmonic wave of the signals to be processed. The present invention discloses a calculation device configured to execute the method.

The invention discloses a deformation calculation method and application technology of foundation soil under a large foundation, comprising the following steps: S1, creating a plane grid system: specifically, on the base elevation plane, the foundation under the test area is divided into Several identical sub-domains, when the number of sub-domains is large enough, the effective additional stress acting on each sub-domain can be equivalent to a concentrated force, and the action point of the concentrated force is located in the center of the sub-domain; S2. Establish foundation soil deformation calculation Model; S3, calculating the compressive modulus Es of the foundation soil, and solving the vertical deformation value. The deformation calculation method and application technology of the foundation soil under the large-scale foundation described in the present invention, the calculation model of the deformation of the layered foundation soil under the large-scale foundation, are applied to the foundation deformation under the large-scale foundation (such as raft-shaped foundation, structural plate expansion foundation, etc.) Calculation and prediction, solving the nonlinear loading problem of the base plane, and the deformation space distribution of each layered plane, solving the defects of the traditional single-point calculation, and the calculation results are more intuitive.

The invention provides a computing method of masonry specific heat. The method comprises the following steps that a small amount of regular brick masonry is taken, the mass m0 is weighted out; according to brick quantities of unit cube brick masonry and the volume v0 of the taken brick masonry provided by a construction unit, the mass of bricks of the above-mentioned taken brick masonry is determined; the water content mw of the taken brick masonry is measured through a drying method; the specific heat of dry mortar obtained after the brick masonry is dried is determined; the specific heat of the brick masonry is obtained finally. The computing method of the masonry specific heat has the advantages that the specific heat of the masonry is calculated from the perspective of the material composition of the masonry, the computing method is visual, and operation is easy and convenient. When the computing method is applied to engineering practice, the specific heat of the masonry can be determined more rapidly, and very important significant for energy saving is achieved.

The invention discloses a fracturing dynamic bottom hole pressure calculation method based on construction data, comprising the following steps: obtaining target well data, fracturing construction data, etc.; calculating the liquid volume and sand concentration of each liquid unit in the wellbore at different times; Calculate the liquid column pressure of each liquid unit in the wellbore; calculate the friction resistance of each liquid unit in the wellbore; calculate the dynamic bottom hole pressure during fracturing construction. The present invention adopts the idea of ​​"dividing the whole into parts", tracks the liquid volume and sand concentration of the liquid unit in the wellbore at all times, and considers the change of the inclination angle of the wellbore, and at the same time uses the actual construction friction of the target well to correct the friction fitted by the indoor experiment The calculation formula and the friction calculation result are more accurate; the present invention calculates the dynamic bottom well pressure according to the dynamic wellhead oil pressure and other construction data, and the calculation result is more intuitive and more in line with the actual situation of fracturing construction.

A method for testing and calculating the tilt of the optical axis of the adjustable focus camera module, comprising the following steps: (S01) performing a defocus curve test on several adjustable focus camera modules, and extracting each focusable camera module respectively. The motor stroke of the module when the image is clearest at the upper left, upper right, lower left, and lower right of a module test image; (S02) input the above test results into a calculation analysis compiling software, and use it to calculate each camera module A least squares plane fitting residual error, an image optical axis tilt size and direction, and the average image optical axis tilt size and direction of all adjustable focus camera modules; and (S03) according to the adjustable focus camera module The imaging direction of the group converts the image optical axis inclination into the module optical axis inclination.

The invention discloses a method for calculating the weighted average particle size of particle size and quality, and belongs to the technical field of machine-made sandstone production. The method comprises the following major steps: A, calculating the single-grain grade median diameter A n =( a max + a min ) / 2, where a max is the largest mineral particle size in the single-grain class, a min is the minimum mineral particle size in the single-grain grade; B, calculate the weight of the single-grain grade C n =M n / Q ,in M n is the mass of single-grained ore, Q is the total mass of mineral materials; C, calculate the weighted average particle size of particle size K =( A 1 x C 1 )+( A 2 x C 2 )+…+( A n x C n ); D. According to step A to step C, calculate the weighted average particle size of the feed particle size K 进 and the mass-weighted average particle size of the output particle size K 出 ; F, calculation process crushing efficiency P =( K 出 / K 进 )×100%.

The invention discloses a method for calculating the sedimentation depth of a debris flow channel based on drilling data, which includes the following steps: S1: through the analysis of regional geology, seismic, and drilling data, the watershed with geological conditions is selected as the actual geological model, and the actual geological model is quantitatively represented Influencing factors controlling the sedimentation depth of the debris flow channel in the model; S2: Based on the statistical sample data, establish the quantitative relationship between the sedimentation depth of the debris flow channel, the width of the debris flow channel, and the vertical slope of the channel, and analyze their correlation; S3: After establishing The abnormal points are screened before the calculation model, and the special samples such as the mud-rock flow channel with the drilling position offset, the accumulation area at the mouth of the ditch, and the sudden change of the channel width are screened out to complete the screening of the sample data; this method solves the problem that the previous methods cannot improve the geological Disaster control accuracy and the initiative to deal with disasters.

The invention relates to the technical field of arch bridge vibration frequency calculation, in particular to a steel tube concrete arch bridge vibration frequency calculating method which comprises the following steps: simulating components such as arch ribs, tie bar beams and transverse beams of a steel tube concrete arch bridge by using a beam unit, simulating a pull rope by using a rod unit, establishing a concrete beam unit rigidity matrix as shown in the specification when ambient temperature is introduced, establishing a steel tube beam unit rigidity matrix as shown in the specification when the ambient temperature is introduced, establishing a pull rope unit rigidity matrix as shown in the specification when the ambient temperature is introduced, establishing a steel tube concrete bridge structure overall rigidity matrix as shown in the specification when the ambient temperature is introduced, and solving a steel tube concrete bridge structure vibration characteristic value equation, thereby obtaining a structural characteristic value and a characteristic vector after temperature variation, wherein in the equations, the characteristic value lambda s is square of frequency; the characteristic vector {phi s} is a vibration mode. Frequency data obtained by using the steel tube concrete arch bridge vibration frequency calculating method provided by the invention can be used as prior data before an arch bridge is designed, the calculation result is visible, and reference can be provided for reasonable design, construction management and safe operation of the arch bridge.