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

The invention discloses a method for testing and computing optical axis inclination of focusing camera-shooting modules. The method comprises the following steps: (S01) carrying out out-of-focus curvetesting on a plurality of focusing camera-shooting modules, and extracting the motor journey of each focusing camera-shooting module when the imaging of module testing images is as clearly as possible at the left upper, right upper, left lower and right lower positions; (S02) inputting the testing result into a calculation analysis compiling software, and using the testing result to compute a least square plane fitting residual of each camera-shooting module, the inclined size and direction of an image optical axis and the inclined size and direction of the average image optical axis of all the focusing camera-shooting cameras; and (S03) according to the imaging direction of the focusing camera-shooting modules, converting the optical axis inclination of the images into the optical axis inclination of the modules.

The invention discloses a fault diagnosis method for an engaging and disengaging coil of a circuit breaker. According to the invention, current of the engaging and disengaging coil of the circuit breaker is taken as the diagnosis object, normal data of the engaging and disengaging coil of the circuit breaker is collected to form a data base and then an improved dynamic time scheduling algorithm is utilized for comparing the detection data with data in the normal data base for judging whether faults occur. According to the improved dynamic time scheduling algorithm, a cost matrix is calculated based on the detection data and the normal data and an accumulation cost matrix is calculated by adopting a constraint condition of an Sakoe-Chiba window and two groups of scheduling paths with optimal data are found in the accumulation cost matrix and are displayed on a t-t map. If the optimal scheduling paths offset, the engaging and disengaging coil of the circuit breaker meets faults and the fault type can be determined based on the offset time point and type of the optimal scheduling paths. Compared with other fault diagnosis method, the method provided by the invention is simple in computation process and more accurate and direct in diagnosis results.

The invention provides a high-speed rail settlement hazard assessment method based on multi-source data integration. The method comprises the following steps: S1, collecting ground deformation data through employing the InSAR technology, wherein the ground deformation data comprise InSAR image data, optical remote sensing image data, hydrogeological data and secondary leveling data; S2, preprocessing the data collected in step S1; S3, adopting two time sequence InSAR technologies of PS-InSAR + SBAS-InSAR to analyze and extract a ground deformation result; S4, performing settling separation onthe background area of the high-speed rail line; S5, weighting the hazard factors influencing the ground deformation by adopting an MIC algorithm; and S6, evaluating the hazard of land subsidence. According to the high-speed rail settlement hazard assessment method based on multi-source data integration, an assessment result tends to a large-format, rapid, objective, economical and efficient ground settlement hazard assessment system, long-acting monitoring is achieved, safe development of cities is guaranteed, and threats of the cities to life, property and economic safety are reduced.

The invention discloses a train AEB system tunnel scene control decision-making method which comprises the following steps: S1, acquiring data by a laser radar; S2, data space coordinate conversion; S3, carrying out denoising and filtering processing; S4, data clustering is carried out; S5, acquiring an obstacle contour; S6, obstacle boundary fitting; S7, typical obstacle feature collection; S8, obstacle feature comparison; and S9, executing a control decision. The processing and calculation of the scene data around the obstacle are all completed by the industrial personal computer assembly, the operation is simple, the detection is convenient, the use cost is low, the measurement precision is high, the calculation result is intuitive, the processing precision is higher than that of a camera, and the influence of weather environment conditions is avoided. In the running process of a train tunnel, manual braking accidents caused by the light problem can be avoided, and tunnel train accidents are effectively reduced.

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.

The invention relates to a calculation method of a comprehensive index of traffic impact in a construction area, which comprises the following steps: step 1, data collection, measuring reference traffic flow of a planned construction road before construction, selecting and counting the traffic flow of the morning and evening peaks, and counting the number of motor vehicles passing through the municipal roads with second time as a time node; in the construction process, counting the traffic flow of the construction road in the construction case once a month, selecting and counting the traffic flow of the morning and evening peaks, and counting the number of first motor vehicles passing through the municipal roads with the second time as a time node; step 2, calculation of the comprehensiveindex of traffic impact in the construction area, performing statistics on the single-lane traffic intensity of the construction-related roads with the construction enclosure length as the weight, andcomparing with the un-constructed state; step 3, analysis of construction full-cycle traffic impact; drawing the comprehensive index of traffic impact in the construction area of each month into a map and analyzing the overall variation trend. The calculation result of the method in the invention is intuitive, easy to understand and convenient for the public and relevant competent authorities torefer to.

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 strong earthquake area debris flow activity prediction method based on material source aggregation quantity, which comprises the following steps: S1, collecting the longitudinal sections of 20 debris flow ditches through surveying and mapping in a large scale,, equally dividing the longitudinal section of each ditch according to elevation, and measuring the ditch length lof each equally segmented ditch and the height difference h of the ditch section; s2, measuring the total trench length L of the debris flow main trench and the maximum relative height difference H of the debris flow trench; s3, obtaining the total source quantity P in the debris flow drainage basin and the drainage basin area A of the debris flow gully through remote sensing interpretation and field investigation. The method solves the problems that a calculation result of a previous method is not accurate enough, and prevention and treatment measures for a strong-activity debris flow channel cannot be enhanced in a targeted mode.

The invention discloses a method for measuring a pore compression coefficient of a fractured medium, which relates to the field of oil and gas resource development, and comprises the following steps of sampling at a fracture wall surface, and measuring axial strain delta and transverse strain delta'of a fracture sample as well as axial stress sigma corresponding to the axial strain; calculating the Young modulus Es according to the measured axial strain delta of the crack sample and the axial stress sigma corresponding to the axial strain, calculating the Poisson's ratio v according to the measured axial strain delta and transverse strain delta 'of the crack sample, and measuring the porosity of the crack surface, according to the measured and calculated porosity Young modulus Es of the crack surface and the Poisson's ratio v, calculating a pore compression coefficient. According to the method, the pore compression coefficient in the large-scale fracture deformation process can be calculated according to the compression deformation characteristics of the large-scale fracture, and good conditions are created for effective development of fracture-vug type oil and gas reservoirs. And the technical blank of the method for testing the pore compression coefficient of the large-scale fractured medium at present is filled.

The invention discloses a fraction mass weighted average particle size calculation method, and belongs to the technical field of machine-made sandstone production. The method mainly comprises the following steps that A, the diameter An = (amax + am)/2 in a single fraction is calculated, wherein amax is the maximum mineral aggregate particle size in the single fraction, and amin is the minimum mineral aggregate particle size in the single fraction; B, the single-fraction mass weight Cn = Mn/Q is calculated, wherein Mn is the mass of the single-fraction mineral aggregate, and Q is the total mass of the mineral aggregate; C, a fraction mass weighted average particle size K = (A1 * C1) + (A2 * C2) +... + (An * Cn) is calculated; D, according to the step A to the step C, the feeding fraction mass weighted average particle size K < in > and the discharging fraction mass weighted average particle size K < out > are calculated respectively; and F, working procedure crushing efficiency P = (Kout/Kin) * 100% is calculated.

The invention discloses a method and system for evaluating the axial deformation bearing capacity of a pipeline ring welding joint. The method comprises the steps: 1, building a finite part model according to the size structure of a pipeline; 2, setting boundary conditions of the finite part model; 3, setting material performance in the finite part model; 4, applying an outward displacement load to the other end face away from the welding seam, the displacement load is gradually increased, the thickness change rate of the pipe wall in the displacement load increasing process is calculated, and axial displacement and thickness change rate data clouds on each pipeline section under each time of displacement loading are obtained under different welding seam size structures and material properties; and 5, taking the thickness reduction rate and the axial average strain of the pipeline as judgment criteria, and integrating the welding seam size structure and the material performance corresponding to the minimum thickness reduction rate and the maximum axial average strain to obtain the optimal axial deformation bearing capacity of the annular welding joint of the pipeline. and calculating and evaluating the pipeline deformability of the ring welding joints with different sizes and performances in each region.