988results about How to "Guaranteed calculation accuracy" patented technology

Disclosed in the present invention a method for calculating channel quality indication information and a terminal thereof. The method involves performing channel measurement by terminal according to received cell state information-reference signal (CSI-RS) or cell reference signal (CRS), determining a channel state information (CSI) reference resource, and determining condition of calculating channel quality indication (CQI), then calculating CQI value corresponding to the CSI reference resource by terminal according to the determined condition and the measured result. The invention makes a reasonable set of the condition of calculating CQI, and ensures performance and effectiveness of the system link self-adaptation.

The invention discloses a power distribution system probability reliability assessing method based on an analytical method. The method comprises the steps that a given power distribution network is partitioned into a fault area, an isolation area, a gapless island area and an influence-free area are classified, a fault mode impact analysis sheet base is established, and parameters are initialized; a stimulation clock is initialized, a random number is generated, the minimum non-failure operation time is obtained according to failure rate parameters of all element state models, the fault isolation time and the load band transferring time are worked out, and the stimulation clock is pushed; the fault mode impact analysis sheet base is inquired, classifications of all cells are determined, whether an island is formed or not is judged, and different methods are adopted for processing the island area and the non-island area; the state sample of an energy storage device is established according to the energy storage device electrical charge state probability distribution obtained through the probability reliability calculating method; distribution probabilities of single-time fault indexes of load points are overlapped, and the probability reliability indexes of the loads and the system are calculated. The simulation speed is increased while certain calculation precision is ensured, and the power grid situation is comprehensively reflected.

The invention relates to a power grid vulnerability evaluation method based on a membership function fuzzy comprehensive evaluation method. The power grid vulnerability evaluation method comprises the steps that 1) static safety analysis, dynamic safety analysis, power grid topology structure safety analysis and reliability analysis indexes of a power grid are defined; and 2) vulnerability fuzzy comprehensive evaluation is carried out based on membership functions. According to the invention, for a continuous and reliable power supply target of a load, the vulnerability level of the power grid is comprehensively measured from the aspects of voltage, current, structure, reliability and the like of the power grid; the vulnerability score is more comprehensive and more for reference; and the vulnerability state evaluation level of the power grid is improved.

The invention discloses a sound source positioning device and method based on track moving double microphone arrays. The device comprises a power supply module, the two microphone arrays with the same structure, a control analysis module, a data acquisition card and an upper computer. Each microphone array is composed of a fixed microphone and a movable microphone, wherein the relative distance between the fixed microphone and the movable microphone is kept unchangeable. The positioning method comprises the steps that the effective angle information of a sound source target is rapidly determined according to the maximum moving searching time delay value of the microphones, the distance of the sound source target is accurately measured according to a triangle geometrical relationship, and the coordinates of the sound source target can be rapidly obtained through conversion. The sound source positioning device and method can be widely applied to fast and accurate three-dimensional space positioning of the indoor short-distance fixed or slow moving sound source target.

The invention discloses a parameter adapting and calibrating robot NURBS curvilinear motion interpolation method. The method includes the steps of 10, according to input motion parameters, obtaining an NURBS curve expression and a derived function expression adopted in the parameter calibrating process; 20, according to an improved Admas differential equation, estimating a node vector u of motion parameters; 30, according to constraint condition, correcting the node vector u of the motion parameters adaptively; 40, smoothing the motion parameters in the adaptive process; 50, completing posture interpolation through the spherical linear interpolation slerp method to obtain position interpolation coordinates and posture interpolation coordinates; and 60, carrying out positive solution and inverse solution calculation of robots to obtain a joint angle interpolation sequence. According to the method, the problem that the deceleration distance is long at the parts with large curvature change in the NURBS track interpolation process can be effectively solved, and the flexibility of joints of the industrial robots in the motion process can be improved.

The invention discloses a numerical simulation method for aircraft flight icing, which simulates the state of an aircraft encountering icing during flying. The method is mainly characterized by comprising an algorithm of the velocity resolution and the water film thickness of a wall surface water film surface in a single-fluid model used for simulating two phase flow flowing of air-ultracold water drop, an algorithm for tracking an icing interface through mesh refinement method in a water film icing state model for calculating ice layer shape and internal temperature, and a flow based on fixed computational grids and used for performing flight icing numerical simulation calculation through the models and the algorithms.

The invention discloses a video stable and fast global motion estimation method, wherein the method includes the steps: first using the sampling image to perform the preliminary estimate on the global motion vector, then realizing the precise correction of the global motion vector using the overlap area to correspond the local piece, finally checking the obtained global motion vector, thereby obtaining the global motion vector of the current frame. Compared with the traditional method, the invention ensures the computational accuracy and the image stabilized range, greatly reduces the computational complexity, advances the computation speed, and enhances the anti-local interference ability.

The embodiment of the invention discloses image processing method and device based on an optical flow algorithm. The method comprises the following steps of: acquiring a current frame image in a video sequence to be processed, and then acquiring the position of a group of pixel points of the current frame image in the next frame image according to the optical flow algorithm; sampling the group of pixel points according to a global parameter model of two adjacent frame images established in advance, and screening out the pixel point of which the displacement distance is within the preset range; acquiring a global motion parameter from the current frame image to the next frame image with a least square method according to the position coordinates of the screened pixel point in the current frame image and the next frame image; and compensating the next frame image according to the smoothing result on the global motion parameter. In the invention, frame images are processed in a way of combining the optical flow algorithm with global motion model sampling, therefore, the calculation precision of the global motion parameter is ensured, the calculated amount is reduced, and meanwhile, the requirement for real-time stable correction of video is met.

The invention discloses a non-linear conjugate gradient three-dimensional inversion method of a magnetotelluric field, which comprises the following steps of: a, establishing a three-dimensional model, and determining model parameters; b, acquiring impedance response through the model resistivity by using the staggered-grid finite difference of the magnetotelluric field as a forward modeling method; c, comparing the impedance which is acquired by forward modeling with an actually measured impedance to acquire an impedance data deviation; d, judging whether a target function value is enough small or not, finishing iteration when the target function value is small enough, otherwise entering the next step; e, calculating the gradient of a target function, and acquiring a search step-length and a search direction by using a non-linear conjugate gradient method as an inversion method so as to calculate a model modifier, wherein the resistivity calculated by using the impedance data error and current iteration is used as a preprocessing factor in the inversion method; and f, modifying the model, and returning to the step b. The non-linear conjugate gradient three-dimensional inversion method of the magnetotelluric field has the characteristics of high efficiency and high accuracy.

The invention relates to the technology of digital signal processing, and provides a self-adaptive high-precision fast spectral analysis method which solves the problem that an existing spectral analysis method is large in error and poor in precision. According to the technical scheme, the self-adaptive high-precision fast spectral analysis method comprises the steps of firstly collecting analog signals, carrying out preprocessing of smoothing, and then carrying out analog-digital conversion to obtain sampling data; selecting 28 data to carry out FFT processing to obtain preliminary signal frequency spectrum information, carrying out peak searching, and then carrying out spectral line aliasing recognition on the preliminary signal frequency spectrum information; if aliasing does not exist, carrying out frequency spectrum correction processing on the preliminary signal frequency spectrum information to obtain the frequency, the amplitude and the initial phase information of the signals; if the aliasing exists, carrying out repeated analysis band-pass filtering thinning processing on the preliminary signal frequency spectrum information, and then carrying out the frequency spectrum correction processing to obtain the frequency, the amplitude and the preliminary phase information of the signals respectively. The self-adaptive high-precision fast spectral analysis method has the advantages that under the premise that calculation precision is ensured, the calculation amount is reduced to a large extent, and the self-adaptive high-precision fast spectral analysis method is suitable for spectral analysis.

The invention relates to a flight icing numerical value simulation method of a helicopter rotor wing. The flight icing numerical value simulation method is mainly characterized by comprising the following steps that: a vorticity compensation force algorithm is added into a momentum equation and an energy equation in a single fluid model used for vortex movement used for simulating air-super cold water drop two-phase flows under a rotating coordinate system in rotor wing trail traces, and a centrifugal force and geostrophic force algorithm is added into a super cold water drop sliding velocity equation; a water film movement and icing model of the centrifugal force and the geostrophic force is considered; and the algorithms and the models are used for carrying out the flight icing numerical value simulation flow process of the helicopter rotor wing, wherein the model of single fluid two-phase flowing used for simulating the simulating air-super cold water drop movement is realized by a partial differential equation group for describing the movement of air and air-super cold water drop binary mixtures in a rotor wing tail trace flow field, and a two-phase flow slipping speed model. The condition that the quality and energy changes are generated in water films and ice layers because of the rotary movement of the rotor wing is considered in the model of the water film movement and icing process on the rotor wing surface, and the icing shape of the rotor wing surface is obtained.

The invention discloses a double-channel pump optimization method based on a multi-objective genetic algorithm. Turbulence calculation and an optimization algorithm are combined in the method and through the optimization algorithm, an optimum solution of structure parameters of a double-channel pump is found, so that the method can provide reliable design basis for workers lacking of rich design experiences and the quality of the design is improved. The training sample of an artificial neural network model in an optimization model is obtained through CFD analysis; a large number of temporary pump hydraulic performances generated in the optimization process are obtained through approximation model prediction; and therefore, computational accuracy is guaranteed, optimization-finding process is greatly accelerated, and time is shortened.

The invention relates to a surface residual stress ultrasonic detection method capable of achieving direct coupling wave generation, and belongs to the technical filed of ultrasonic detection. According to the method, a wave generation mode of coupling agent direct coupling is adopted, ultrasonic waves pass through a single coupling agent medium and directly emit into a measured material, and an adopted direct coupling wave generation ultrasonic probe is in a one-emitting double-receiving stress measurement mode. Firstly, the direct coupling wave generation ultrasonic probe is designed and assembled, the assembled direct coupling wave generation ultrasonic probe is placed on the surface of the measured material, and the measurement cardinal plane is kept in full contact with the surface. A coupling agent is stably injected into a coupling agent cavity from a valve opening, an ultrasonic wave direct spreading passageway is formed, and surface residual stress ultrasonic detection is carried out. According to the method, wave generation and coupling are completed at the same time, fewer ultrasonic wave spreading interfaces exist, the quality of received signals is guaranteed, and the signal to noise ratio is increased. According to the adopted stress measurement mode, transit time difference calculation precision is guaranteed, and the measurement spatial resolution is improved.

The invention provides a method and a device for realizing multi-core parallel at a TEE side, a computer system and the like. The method comprises the following steps: a TEE creates a plurality of sub-threads, wherein the sub-threads are used for realizing sub-functions of a TA deployed at a TEE side; for each sub-thread, the TEE triggers a rich execution environment (REE) to generate a shadow thread corresponding to the sub-thread, and the operation of the shadow thread promotes a core running the shadow thread to enter the TEE; and the TEE schedules the created sub-thread to the core where the corresponding shadow thread is located for execution. By utilizing the method, a plurality of service logics in the service with high performance requirements can be operated in parallel in the TEE, and the TEE triggers the REE to generate the thread and automatically enters the TEE side, so that active kernel adding at the TEE side is realized, and the parallel flexibility of the TEE side is improved.

The invention provides a multi-baseline / multi-frequency-band phase unwrapping frequency domain quick algorithm. The technical scheme includes that firstly, calculating phase gradient values in the horizontal and vertical directions according to interference phase observed values of an interference phase diagram, and calculating phase gradient values on the border of a phase gradient diagram according to time domain irrotational conditions; secondly, subjecting the phase gradient values to Fourier transform to obtain a frequency domain function of the phase gradient values, and calculating a Fourier coefficient approximate value meeting the irrotational conditions under the condition that the quadratic sum of the weighted sum of and the difference between the frequency domain function of phase gradient estimated values and a frequency domain function of each baseline / each frequency band phase gradient values; thirdly, subjecting the Fourier coefficient approximate value to Fourier transform to obtain a phase gradient estimated value meeting the phase irrotational conditions; and fourthly, integrating the obtained phase gradient estimated value meeting the phase irrotational conditions to obtain a phase unwrapping value. Calculation amount of the phase unwrapping algorithm is reduced while precision is unaffected.

A power distribution network N-1 calibration method taking segmental load transfer into consideration comprises the following steps: carrying out initial analysis of a lattice structure; carrying out simplification analysis of the lattice structure; analyzing circuit transfer analysis; carrying out N-1 calibration and load loss calculations of a circuit and N-1 calibration and load loss calculations of a main transformer respectively, namely, carrying out load segmental cutting sequentially when N-1 calibration and N-1 calibration of the circuit and the main transformer do not pass, and carrying out load transfer capability analysis of the main transformer, load transfer analysis of an interconnection unit of a transformer station, overload transfer correction of the main transformer, and transfer capability calculation of the network of the transformer station sequentially; carrying out load segmental cutting when N-1 calibration and N-1 calibration of the circuit and the main transformer does not pass. The calibration method has the advantages that the power distribution network N-1 calibration result can be higher under the premise that the calculation accuracy is guaranteed; load is cut when a calibration result does not pass, so as to facilitate improvement of calibration level of power distribution network power supply safety, and more accurately guide analysis and selection of planning, reformation and running method of a power distribution network.

The invention discloses a method for setting, predicting and self-learning skin-pass rolling pressure, which comprises the following steps: a. collecting n groups of actual skin-pass rolling process parameters and n groups of actual rolling pressure data corresponding to the parameters; b. introducing steel grade of a planishing mill a0 and influence coefficients of working conditions a1, structuring a basic rolling pressure model which is suitable for the skin-pass rolling and reflects the basic functional relationship between each rolling process parameter and rolling pressure; c. calculating initial optimal values of the steel grade a0 and the influence coefficients of the working conditions a1; d. completing the correction of the initial optimal values of the steel grade a0 and the influence coefficients of the working conditions a1; e. setting and predicting the skin-pass rolling pressure; f. and self-learning the skin-pass rolling pressure model. Through continuously self-learning the steel grade and the influence coefficients of the working conditions, the invention effectively guarantees the calculation accuracy of the model on the premise of not damaging the physical significance of key rolling parameters such as friction coefficient and deformation resistance. At the same time, the method of the invention is clear in theory and rapid in calculation, thus the method is suitable for online application.

The invention discloses an arranging method for a sensor for detecting fatigue stress of a steel box girder bridge based on a fatigue damage degree index, comprising the following steps: calculating fatigue stress of at a steel box girder candidate measure point area through the finite element model technology; constructing the fatigue damage degree index based on an S-N curve and a Miner linear damage accumulation theory provided by design specifications; and determining an arranging position of the sensor for detecting fatigue stress of the steel box girder bridge according to size of the fatigue damage degree index. The method provided by the invention effectively ensures analysis precision for fatigue stress of the steel box girder bridge by using the finite element model analysis technology, constructs the fatigue damage degree index of the steel box girder bridge on that basis, and provides reasonable evidence for selecting the arranging position of the sensor, so that subjectivity, empirical property and blindness for arranging the traditional steel box girder fatigue stress sensors are effectively overcome, and the method will be certainly applied and popularized widely.

The invention relates to a shale gas apparent permeability calculation method considering multi-factor influence, which comprises the following steps: (1) reconstructing a shale three-dimensional digital core based on a shale two-dimensional profile scanning electron microscope image by adopting a multi-point geostatistics method; (2) calculating the porosity, tortuosity and porous medium characteristic length of the shale three-dimensional digital rock core; and (3) calculating the gas permeability in the organic matter and inorganic matter of the shale. According to the method, the influenceof the pore structure, different pore types (organic matter pores and inorganic matter pores), adsorption and desorption, surface diffusion, gas slippage, stress sensitivity and critical property change in the shale gas reservoir on the gas flow capacity is fully considered, and the shale gas flow capacity under the conditions of different pore structures and gas reservoirs can be accurately predicted.

3780 points Fast Fourier Transform (FFT) processor is based on pipeline architecture. Based on mixed base algorithm, the invention decomposes 3780 points FFT into 63X60. Based on prime factor algorithm, 63 points FFT and 60 points FFT are decomposed to 7X9 and 5X3X4 respectively. Characters are that the state design based on pipeline is adopted by each FFT arithmetic unit, and memory unit of using 'ping-pong' structure is in use for storing arithmetic data so as to constitute 3780 points FFT processor in complete pipeline architecture. Thus, the input data can be carried out FFT operation uninterruptedly, and operational result can be output uninterruptedly. The invention raises data throughput of processor, and reduces complexity for controlling address of reading and writing memory.

The invention discloses a multi-GPU molecular dynamics simulation method for structural material radiation damage. The method comprises the following steps: initializing; dynamically dividing grids for each node; performing inter-node communication; establishing a sorting cellular list on GPU; updating time step; finding the corresponding relationship between particle and grid number according to the coordinate of the particle; forecasting the displacement, speed and accelerated speed of the particle; calculating the stress of each particle; utilizing the stress to rectify the displacement, speed and accelerated speed of the particle; ensuring the constant temperature of the system according to the ensemble correcting speed; utilizing a periodic boundary condition to correct the position of the particle; storing a current calculation result; and iteratively executing the above steps till reaching preset step number. The method can be utilized to high-efficiently and conveniently simulate the material radiation damage process on larger spatial and temporal scale and to explain the long-time evolution law of the radiation damage at micro-scale.

The invention discloses a method for calculating dose by analyzing Monte-Carlo simulation. The method uses three-dimensional nonuniform correction to replace one-dimensional correction of the prior DSA method based on the prior DSA dose calculation model so as to improve the accuracy of calculation, uses energy fluence of a muon beam incident to the surface of a medium to calculate total kinetic energy of all depths instead of the prior DSA method for calculating the energy fluence of each depth separately to reduce the number of sampling points of each depth calculation so as to reduce the calculation time, and adopts different densities of calculating points according to different calculation areas, such as higher density of a calculating point of an interested area, and lower densities of calculating points of other areas, thereby reducing the calculation time while ensuring the accuracy of the area concerned by a user.

The invention belongs to the field of digital image processing technology and relates to an image data information collection at a traffic accident scene and a processing method thereof. A fixed structure is used to adjust the angles of four laser range finders, so as to form a quadrangle laser target around the traffic accident scene. A camera is used to take accident scene photographs with the laser target and to record the distance, shooting angles and other geometric scene information of the laser target relative to the laser range finder. Based on the method of simplified direct linear transformation, the laser target of the image is regarded as a calibration object to establish the transformation relationship between an image space and a object space; based on the transformation relationship established and the allowable error threshold values, the image transformation on all pixels of the image can be made to get an orthographic projection image of the traffic accident scene. Finally, based on the conversion relationship between the pixel length and the actual geometrical length, the image of the traffic accident scene with the same size of the traffic accident scene can be obtained. The invention is mainly used in major traffic accidents and can meet the application requirements of the rapid investigation at the traffic accident scene.

The invention discloses a circuit system for a bell-shaped vibrator angular rate gyro, which comprises a vibration mode stabilizing unit, a drive control unit, a differential capacitance detector and an information detection unit. Under the drive of a vibration starting circuit, the gyro begins vibrating, and the vibration mode of the bell-shaped vibrator is stable through the vibration mode stabilizing unit and the drive control unit. The differential capacitance detector charges and discharges a detection electrode and a feedback electrode of the vibrator of the bell-shaped vibrator angular rate gyro; the detected differential capacitance signals are converted into corresponding error voltage signals which are then output to a high precision amplifier; and after demodulation, an input angular rate is calculated by a processor. The circuit system has a simple structure, good performance and high precision; and particularly, the vibration mode stabilizing unit is introduced, so the sensitivity of the output signals of the gyro is improved and the defects of the gyro device per se are effectively overcome.

The invention discloses an axial symmetry DC magnetic bias simulation model for an extra-high voltage transformer, which belongs to the technical field of safe operation of electrical equipment in an extra-high voltage AC network. Through establishment of an equivalent axial symmetry simulation model of an actual three-dimensional model of the extra-high voltage transformer, a complicated magnetic field model is equivalent to a simple two-dimensional magnetic field model and dynamic inductance parameters are obtained; a load DC magnetic bias circuit model of the extra-high voltage transformer is established; current parameters are obtained through a four-order Runge-Kutta method; a time domain field-circuit coupling method is adopted to realize rapid calculation of the load DC magnetic bias of the extra-high voltage transformer; the simulation proves the high precision and high efficiency of analysis of DC magnetic bias through the extra-high voltage transformer to bring convenience to a large amount of researches on a DC magnetic bias problem of the transformer and help to safe and stable operation of the transformer.

The invention discloses a structured light self-adapting repeated multi-exposure method in the three-dimensional measuring field. The quality parameters of shot structured light pattern images are used for automatically confirming the exposure time next shooting and judging when shooting is to finish. The concrete method comprises the steps of calculating the quality parameter value of positions on the structured light pattern images, using the quality parameter value of the positions on the structured light pattern images to judge whether the positions reach ideal exposure quality and confirm the exposure time of the next shooting, judging whether shooting finishes through the pixel proportion of the low quality parameters of patterns, and finally conducting data splicing on images of high quality parameters in different exposure time. The method effectively avoids interference of complex conditions of the surface of welding seams on the structured light pattern images, and obtains structured light pattern images which are clear and reliable and do not lack local data so as to improve the accuracy and the stability of three-dimension measurements.

The invention discloses an effluent and drain temperature measurement and calculation method of a heater with a drain cooler on a steam turbine. The method comprises the following steps: a machine set design condition or a performance test condition is selected as a reference condition; the case side pressure, the case side steam extraction enthalpy, the drain temperature, the effluent temperature, the inflow temperature and the machine set power of the heater under the reference condition are selected to calculate the heat transfer characteristic coefficient of the pure condensation section and the drain cooling section of the heater under the reference condition; the case side pressure, the heater inflow temperature and the machine set power under the actual condition are read or calculated in the database of a monitoring information system SIS or a decentralized control system DCS of a heat-engine plant; the heat transfer characteristic coefficient of the pure condensation section of the heater under the actual condition is calculated by the corresponding heat transfer characteristic coefficient of the pure condensation section of the heater under the reference condition; the actual effluent temperature is obtained by iterative computation; the heat transfer characteristic coefficient of the drain cooling section of the heater under the actual condition is calculated according to the heat transfer characteristic coefficient of the drain cooling section of the heater under the reference condition, and the drain temperature is obtained by iterative computation.

The invention discloses a joint inversion method based on rapid calculation of a data space. The method includes steps of S1, building a target function of a reversal development of gravitation, magnetic, electrical and seismic; S2, building an initial model of electrical resistivity, speed, density and magnetic susceptibility; S3, carrying out forward modeling calculation and solving a Jacobian matrix; S4, calculating a crossing gradient partial derivative and Lagrangian; S5, calculating to obtain a model space iteration model; S6, calculating to obtain the data space iteration model; S7, performing forward modeling calculation on the acquired data space iteration model, and performing fitting difference solution on the observed data; if the fitting difference is increased and reaches themaximum iteration frequency or the fitting difference reaches the threshold value, stopping circular forward inversion, outputting the joint inversion model of the data space; otherwise, returning toS3. The joint inversion method based on rapid calculation of the data space is quick in calculation speed and small in occupied memory.

The invention discloses a positive definite matrix floating point inversion device based on an FPGA and an inversion method thereof. The inversion device comprises a process control module, an operation module and a storage module. The process control module is respectively connected with the operation module and the storage module. The operation module is connected with the storage module. The process control module is used for generating a signal to control the orderly operation of the operation module and the storage module. The operation module is used for carrying out the matrix operation. The storage module is used for caching data of a matrix to be operated and data of a result matrix and providing a system bus access interface. The positive definite matrix floating point inversion device can be conveniently and rapidly achieved on a chip of the FPGA, and on the premise of guaranteeing the precision, the matrix inversion speed is improved.

The invention discloses a power grid reactive power optimization method with wind power uncertainty and voltage stability being taken into consideration. The method comprises the following steps: 1) generating possible scenes of a plurality of wind power plants by utilizing a Latin hypercube sampling method, and simulating uncertainty of wind energy output by utilizing the scenes of the wind power plants; 2) with minimum expectation value of reactive power service cost and power grid active power loss being an objective function, and with power plant reactive power output being an optimization variable, establishing a wind power plant reactive power optimization model having constraint conditions according to the number of the preset possible scenes of the wind power plants; and 3) solving the wind power plant reactive power optimization model in the step 2) by utilizing a continuation power flow method, and verifying voltage stability of the reactive power optimization results.