260results about How to "Simplify calculation steps" patented technology

The invention discloses a multi-period optimal corner small straight-line segment interpolation method based on S curve acceleration / deceleration control in a numerical control system. The method comprises the following steps of: based on the limitations of the machining precision of a machine tool and the maximum machining speed of each driving shaft, setting the acceleration speed at the joint of the corner and the straight-line segment to be zero according to geometrical parameters of each corner on a machining path, the maximum machining acceleration speed of each driving shaft and an optimization target, and determining and adjusting the optimized corner interpolation parameters in multi-period transition at each corner, so that the acceleration speed at two ends of each small straight-line segment meets the reachability requirement of the S curve acceleration / deceleration control mode; and calculating the time at each acceleration / deceleration stage of each straight-line segment according to the S curve acceleration / deceleration mode, respectively performing straight-line segment and corner interpolation on each small straight-line segment, sequentially outputting interpolation point sequences in real time, and driving a numerical control machine tool to execute the machining operation. By the method, the vibration of the machine tool is reduced, the quality of the surface of a workpiece is improved, the calculation speed is high, the real-time machining requirements can be met, and the method is suitable for different models of three-axis, four-axis or five-axis numerical control machine tools.

The invention provides a vehicle driving risk prediction method based on time varying state transition probability markov chain. Firstly, an offline vehicle driving risk prediction model training: based on samples of accidents and near accidents, real-time vehicle driving risk states are divided by clustering time window characteristics parameters and regarded as countable states of the markov chain, and a multiterm logistic model of vehicle driving risk states transition in different vehicle driving risk states is built. Secondly, an online vehicle driving risk model real-time prediction: under the circumstance of car networking, the variable parameters required by a prediction model are collected in real time, through a risk state clustering center position and markov property, an original state probability distribution vector and a markov chain n steps transition probability at any time in the future are calculated, and the prediction result of the vehicle risk states in the futureis obtained. According to the invention, by means of a recurrence algorithm, the estimation of markov chain n steps time varying state transition probability is achieved, which can reflect the characteristics of the vehicle driving risk states changing with the characteristics of the transportation system, and can meet the requirement of early warning in real time.

The invention discloses a method for determining the height of an overlying stratum water guiding crack zone. The method includes the steps of 1, according to the thickness, the volume weight, the elastic modulus and the tensile strength of strata overlain on a coal mining working face, judging whether a primary key stratum and / or a secondary key stratum exist / exists in the strata overlain on the coal mining working face or not, and determining the positions / position of the primary key stratum and / or the secondary key stratum; 2, primarily judging the position of the primary key stratum in three overlying stratum zones according to the ratio of rock and loading and the ratio of rock and mining, and primarily determining the range of the height of the overlying stratum water guiding crack zone; 3, calculating the total tensile deformation of the strata overlain on the coal mining working face under three conditions, comparing the total tensile deformation of the strata overlain on the coal mining working face with the ultimate tensile deformation of the strata overlain on the coal mining working face, and judging whether the strata overlain on the coal mining working face are broken or not; 4, determining the height of the overlying stratum water guiding crack zone under three conditions. The steps of the method are simple, the method for determining the height of the overlying stratum water guiding crack zone is simplified, and the accurate result can be obtained.

The invention discloses a method for testing the fracture energy of concrete by a three-point bending beam without self-gravity doing work, and belongs to the technical field of civil engineering. The method is characterized by manufacturing a concrete beam of which the total length is 1.912 times of clear span. A test device comprises a sensor, an angle steel connecting rod, a clip-on extensometer, a sheet bar and the like. Through a tested load-deflection curve, the fracture energy of the concrete is calculated directly without fitting a curve. The fracture energy of the concrete is the ratio of an area enclosed by the load-deflection (the work done by a load) to the area of a beam ligament. The device for testing the fracture energy of the concrete by the three-point bending beam without self-gravity doing work has the advantages that: the self-gravity of a concrete test piece is counteracted without adding any connecting rod or weight to counteract the work done by the self-gravity; requirements on the rigidity of a test machine are low; the fracture energy is calculated without fitting the curve or calculating the work done by the gravity; calculation processes are simplified; and a test device is simple and easy to operate, so the device is suitable for small and medium laboratories with small test machine rigidity.

The invention discloses a quick source signal reconstruction method achieving blind sound source separation of two microphones, belongs to the field of speech signal processing, and particularly relates to a quick source signal reconstruction method achieving sound source separation of the two microphones on the situation that the number of sound sources and the surrounding environments are unknown. On the situation that temporal envelopes of reconstruction source signals are not influenced, a small additional phase is added to each frequency component of reconstruction signals, contribution of each source signal to a time-frequency point is approximately calculated to simulate the proportion of each source signal in the time-frequency point, and accordingly the source signals are restored. A traditional solving process of an underdetermined system of equations is avoided, calculation steps are simplified, and the aim of quickness is achieved. Accordingly, compared with an existing algorithm, the method has the advantages that calculation amount is little, and the signal-noise ratio is high on the situation that the number of the sound sources is increased.

The invention relates to a flexible guide rail hole group machining method based on drilling equipment coordinate system determination in the field of machining. The method comprises the following steps of: calculating a difference between an actual value and a preset value of an angle of a connecting line of two K holes to obtain a deflection angle gamma; and performing -gamma angular coordinate transformation on a coordinate system of a machining code and setting one of the K holes as a workpiece zero point so as to eliminate deflection error. By the flexible guide rail hole group machining method, system error of the deflection angle between a machine coordinate system and a workpiece coordinate system can be overcome conveniently, and high-precision and high-efficiency running of the equipment can be realized.

The invention belongs to the spacecraft navigation and control field and particularly relates to a quaternion all-angle conversion Euler angle acquisition method facing large attitude maneuver. According to the method, an initial attitude matrix is calculated according to the initial alignment result, and an initial attitude quaternion is acquired; an attitude quaternion at the present time is acquired through update according to strapdown gyroscope output data after pre-processing and an attitude quaternion of a previous time; an attitude matrix of a spacecraft at the present time is calculated according to the attitude quaternion, and three Euler angles of the spacecraft are calculated according to the attitude matrix, namely a yaw angle, a roll angle and a pitch angle; an attitude quaternion of the next time is calculated, Euler angles of the spacecraft at the next time are calculated according to the attitude quaternion of the next time. The method is advantaged in that all-angle conversion is realized, switching among different conversion algorithms is not required, calculation of the quaternion conversion Euler angles is simplified, and the calculation time is further saved.

A method for measuring horizontal stress of fine granulated saturation soil at original place in real time calculates out degree U of consolidation and horizontal consolidation coefficient C as well as static side pressure coefficient K by obtaining relation curve of horizontal pressure R at saturation soil layer deep position to time T and by applying three ¿C points calculation means to calculate horizontal stress R1 at initial time and horizontal stress at time of finalizing excess pore water pressure evanish . The probe for realizing said method is also disclosed.

A method for determining harmonic voltage comprises the steps of obtaining the fundamental wave voltage and the injection electric quantity of each of the nodes, and determining positive-sequence, negative-sequence and zero-sequence current of each of the nodes; according to the fundamental wave voltage and positive-sequence, negative-sequence and zero-sequence current of each of the nodes, determining positive-sequence, negative-sequence and zero-sequence admittance matrixes of each of the nodes; numbering each of the nodes with a node numbering method, and conducting factorization on positive-sequence, negative-sequence and zero-sequence admittance matrixes with an LU decomposition according to the numbering sequence; and using harmonic power flow models to determine harmonic impedance of each of the branches, determining positive-sequence harmonic voltage, negative-sequence harmonic voltage and zero-sequence harmonic voltage of each of the nodes according to the harmonic impedance of branches and positive-sequence, negative-sequence and zero-sequence admittance matrixes after factorization, and determining the harmonic voltage of each of the node according to the positive-sequence harmonic voltage, the negative-sequence harmonic voltage and the zero-sequence harmonic voltage. The invention also provides a corresponding system. By the aid of the method and the system, the calculation precision can be improved, and the calculation can be simplified.

The invention discloses a method and a system for determining an optimal intra-frame prediction mode. The method for determining the optimal intra-frame prediction mode comprises the following steps: determining a main sampling direction of a current PU (Prediction Unit) according to texture information of the current PU or an optimal intra-frame prediction mode of an upper layer PU; if the main sampling direction of the current PU is determined, performing sparse and dense sampling on an angle mode of the current PU according to a variable sampling step length strategy to obtain a sampling angle mode; if the main sampling direction of the current PU is not determined, performing uniform sampling on the angle mode of the current PU according to a uniform sampling step length strategy to obtain a sampling angle mode; processing the sampling angle mode to obtain a candidate angle mode; and constructing a candidate intra-frame prediction mode set including the candidate angle mode, and determining an intra-frame prediction mode with a minimum rate-distortion cost from the candidate intra-frame prediction mode set as the optimal intra-frame prediction mode. Through the technical scheme, the optimal intra-frame prediction mode of the current PU can be determined rapidly and accurately.

A method for distributing bit in audio coding includes using mask threshold to estimate initial value for effective dimension factor of all dimension factor band in a signal frame according to limit condition , regulating each effective dimension factor to use lower limit value as value of effective dimension factor, obtaining dimension factor for global dimension factor and each dimension factor band as per obtained value , regulating global dimension factor according to code rate limit condition till bit number required by entropy coding is less than usable bit number .

The invention discloses a multi-value corrected min-sum decoding method applicable to a low-density parity-check code. The method comprises the following steps of: for each check node, multiplying signs of data input by associated variable nodes to acquire a total output sign, comparing absolute values of the data input by the adjacent variable nodes to acquire a minimum value, a second minimum value and a third minimum value, and recording a sequence number of a variable node corresponding to the minimum value; for the variable node corresponding to the minimum value, performing addition operation in a log likelihood ratio (LLR) domain on the second minimum value and the third minimum value, and multiplying the acquired result with the total output sign and the sign of the data input by the variable node to acquire information output to the variable node corresponding to the minimum value; and for other variable nodes, performing the addition operation in the LLR domain on the minimum value and the third minimum value, and multiplying the acquired result with the total output sign and the signs of the data input by the variable nodes to acquire information output to the variable nodes. The decoding method is high in performance, low in complexity and easy to implement.

The invention discloses a galvanometer scanning system calibration method based on double checkerboards. Calibration devices used by the method are two checkerboard calibration plates which are the same in specification and are mutually fixed at a certain angle. The method comprises the following steps: shooting a plurality of calibration device images in different postures by using a camera, segmenting two calibration plates in the same image by using an image segmentation algorithm, and performing calibrating according to a Zhang Zhengyou calibration method to obtain internal parameters andexternal parameters of the camera; and then keeping the last posture of the calibration device unchanged, and controlling the galvanometer lens to rotate and controlling the camera to expose and collect images to obtain laser stripe images projected to the two calibration plates under different light planes; and fitting high-precision calibration point obtained through image processing and calculation to obtain a light plane equation, and then acquiring rigid body transformation between a galvanometer coordinate system and a camera coordinate system to realize overall calibration of the galvanometer scanning system. The required calibration device is easy to obtain, the calibration steps are simple, the speed is high, and the precision is high.

An embodiment of the invention provides a double-surface three-dimensional reconstructing method, device and system for a transparent object. Natural light is adopted as incident light at a light emitting end for radiating the transparent object. The incident light is reflected by a front surface and a rear surface and reflective light is obtained. The reflective light is received by a first camera end and transmission light of the transparent object is received by a second camera end. When three-dimensional reconstruction of the front surface is performed, a polarization analysis method is utilized. The direction vectors of the incident light and the reflective light are obtained based on the polarization degree of the reflective light. On this basis, the space location of the incident light and the space location of the reflective light are determined by utilizing a trigonometric survey method. Since the trigonometric survey method and the polarization analysis method are adopted at the same time for obtaining reconstruction information, the space location of the incident light and the space location of the reflective light are determined. Construction is performed according to the cross point of the two space locations and the calculation steps of three-dimensional reconstruction is simplified.

The invention discloses an online driving danger estimating method based on an offline vehicle deceleration curve. The method comprises the steps of 1), acquiring a near accident vehicle decelerationcurve sample in natural driving researching as an offline risk vehicle deceleration database, through clustering analysis of the deceleration curves in the database, obtaining different grade kinds ofthe driving risk state at a vehicle braking collision preventing starting time; and 2), based on the offline risk vehicle deceleration database, performing risk state dividing fuzzy rule extraction on the danger estimation index at a sample braking collision preventing starting time according to the offline driving risk state kind result, and obtaining an online driving risk state dividing methodbased on a danger estimation index fuzzy rule. The online driving danger estimating method prevents a restriction problem which may exists in a single danger estimation index and furthermore reflectsthe time when a driver thinks inevitable collision, thereby improving effectiveness and user acceptance of an anti-collision system.

The invention relates to a height limit early warning method based on binocular stereo vision, which comprises the following steps: S1, obtaining a disparity map of an original image based on the original image shot by a binocular camera, and obtaining a current driving path of a vehicle in a world coordinate system; S2, calculating a first coordinate of each pixel point projected to a world coordinate system in the disparity map; S3, judging whether a corresponding pixel point in the disparity map is in a driving path according to the first coordinate, and if yes, projecting the pixel point to a vertical coordinate plane parallel to the image surface of the binocular camera in a world coordinate system; S4, whether an obstacle exists is judged based on a preset height area on the verticalcoordinate plane, and if yes, the average height of the obstacle is obtained; and S5, repeating the steps S1 to S4 to judge and track the obstacle in multiple frames, further confirming that the obstacle is a height limit mark, and giving an early warning. According to the method, the calculated amount is small, and the accuracy is high.

The embodiment of the invention provides a point cloud coordinate conversion method and a point cloud coordinate conversion device. The method comprises the following steps: determining a fitting ground plane according to point cloud data which is screened out of the acquired three-dimensional point cloud data, wherein the point cloud data and the horizontal two-dimensional plane of a navigation coordinate system are positioned on the same plane; based on the normal vector of the fitting ground plane, correcting each acquisition point in the three-dimensional point cloud data into the ground coordinate system; acquiring a plane transformation matrix which is transformed from the ground coordinate system to the navigation coordinate system; and based on the plane transformation matrix, translating each acquisition point into the navigation coordinate system and determining the coordinates of each acquisition point in the navigation coordinate system. Therefore, the two-dimensional planetransformation matrix is solved, three-dimensional space solution is conducted, the calculation step can be simplified, and the calculation efficiency and the conversion accurate rate are improved.

The invention relates to a tissue displacement estimation method and system based on ultrasonic echo radio frequency signals. The method includes a converting step, namely converting the entire-frame ultrasonic echo radio frequency signals into analytic signals; a segmenting step, namely segmenting the entire-frame analytic signals according to the preset window length and acquiring segmented window data segments; a product summary step, namely performing once no-offset product summary on the segmented window data segments corresponding to two adjacent frames and acquiring a target plurality; a phase calculating step, namely calculating the phase of the target plurality; and a corresponding displacement estimating step, namely utilizing the phase to calculate and acquire corresponding displacement between two frame signals. According to the tissue displacement estimation method based on the ultrasonic echo radio frequency signals, the entire-frame ultrasonic echo radio frequency signals are converted into the analytic signals once, calculating speed is increased greatly, the corresponding displacement between two frame signals can be acquired through once product summary, calculating amount is reduced, calculating efficiency is improved, and complexity is low.

The invention provides a method for calculating the dynamic characteristics of an electromagnetic mechanism based on a temperature compensation matrix, relates to the calculation method of dynamic characteristics of the electromagnetic mechanism, and aims to solve the problems that an existing technology cannot simultaneously achieve the effects of high efficiency and high accuracy and cannot be applied to analytical test on the dynamic characteristics of the electromagnetic mechanism at different temperatures. The method comprises the following steps: 1, acquiring a key parameter of the electromagnetic mechanism; 2, searching or measuring a magnetizing curve and a resistance value R; 3, setting the initial state of the dynamic characteristics of the electromagnetic mechanism; 4, calculating the dynamic characteristics of the electromagnetic mechanism at t+delta t moment; 5, acquiring coil current at the t+delta t moment; 6, acquiring the dynamic characteristics of the electromagnetic mechanism at a temperature T of the current electromagnetic mechanism; and 7, acquiring the dynamic characteristics of the electromagnetic mechanism at different electromagnetic mechanism temperatures, and the like. The method is applicable to the field of electromagnetic mechanism dynamic characteristic calculation.

The invention belongs to the field of material genetic engineering, multi-scale simulation and material big data, and relates to a multi-scale integrated visual high-flux automatic calculation processand data intelligent system, which comprises a material modeling system, a scientific calculation system, a server configuration system, a data storage system, a data analysis system and an artificial intelligence system. According to the method, an automatic construction method of a material complex model, various material calculation simulation methods with different scales, various types of material databases, a material performance analysis technology and a data mining technology based on artificial intelligence are combined, and 1000-magnitude material high-flux calculation simulation can be automatically carried out; material calculation simulation of multiple scales such as an electronic scale, an atomic scale, a molecular scale and a mesoscopic scale can be carried out, and errorspossibly occurring in the calculation process can be automatically corrected; all calculated structural data, intermediate metadata and result data can be stored in various types of material databases, so that a user can conveniently inquire and carry out data mining analysis.

The invention provides a rock mass structure detection and dangerous rock detection system and method. The rock mass structure detection and dangerous rock detection system comprises rock mass structure automatic detection equipment, and three-dimensional laser scanning equipment and two-dimensional image acquisition equipment are arranged on the rock mass structure automatic detection equipment and used for acquiring three-dimensional laser point cloud data and two-dimensional images of a tunnel construction area respectively. A server communicates with the rock mass structure automatic detection equipment; the server comprises a block structure three-dimensional modeling module and a block structure geometric stability analysis module. The influence of the same group of structural planesin the rock mass, the new structural plane effect of blasting disturbance and the finite scale of the structural planes are considered, and polygonal pyramids and polygonal frustum-shaped blocks canbe constructed to be close to engineering practice; and the geometric stability of any polygonal pyramid can be rapidly analyzed.

The invention relates to a hierarchical identification method applicable to the control parameters of a teleoperation system. The method comprises the steps of simplifying a teleoperation process in which input and output signals are sampled differently into a dual-rate sampling system, building an auxiliary model based on a minimal sampling period by using a re-sampling method, and estimating the middle state value of the re-sampling system; an output sampling period is greater than a re-sampling period, and the middle state value can not be directly corrected by the output estimated differential value of the system, so that the state estimation value in a Kalman forecasting process can be modified by adopting a state changing difference value, i.e. a differential method. According to the method, the parameters of the dual-rate teleoperation system can be identified under the two conditions of known and unknown state values, so that the feasibility and effectiveness of the method can be verified by a simulation result.

The invention discloses a method for computing importance in maintaining components of equipment, comprising the following steps: utilizing variables to express a component set in a device system; establishing a state possibility distribution set of basic variables corresponding to the components; composing the multiple components into one assembly according to the series-parallel connection structural relationship; sequentially computing a conditional probability distribution set of all implicit variables, a posterior state distribution set of the variables of the device system, a posterior state distribution set of the variables of the device and the importance in maintaining each variable in the basic variable set; sequencing the importance in maintaining all the basic variables from high to low; and determining the most important maintaining components. The invention solves the problem of mutual separation between the reliability and the structural relevance of the existing method, simplifies the computation steps, improves the computation efficiency, can effectively recognize the key component of the device system, guides the monitoring and the maintaining of the key component, effectively improves the maintenance efficiency and reduces the maintenance cost.

The embodiment of the invention provides a vehicle fine-grained identification method and device based on a multiple attention mechanism, and the method comprises the steps: carrying out the pre-training of a channel clustering layer and a classification network layer through an obtained vehicle image, and constructing a multiple attention convolution neural network model; determining a loss function of the multi-attention convolutional neural network model, and adjusting weight parameter matrixes and offset values in the channel clustering layer and the classification network layer by learning joint loss of the loss function to obtain adjustment values of the weight parameter matrixes and offset values of the channel clustering layer and the classification network layer; and training themulti-attention convolutional neural network model by using a vehicle data set containing fine-grained image classifications of different vehicle attributes to obtain determined values of weight parameter matrixes and offset values of the channel clustering layer and the classification network layer for vehicle feature extraction and vehicle multi-attribute identification. Through the embodiment of the invention, the accuracy of vehicle identification can be improved.

The invention discloses a method for obtaining alternating current loss of a high-temperature superconducting magnet containing an iron core, and the method comprises the following steps: (1) determining the structure of the superconducting magnet containing an iron core and material parameters of each component; (2) according to the structure of the superconducting magnet model and the material parameters of each component, establishing an alternating current loss calculation model; (3) constructing a current density constraint condition and a relative permeability constraint condition; (4) solving the alternating current loss calculation model according to the current density constraint condition and the relative permeability constraint condition to obtain the current density J and the electric field intensity E of the superconducting winding at a t moment; and (5) obtaining the alternating current loss of the superconducting winding according to the current density and the electricfield intensity. The method for obtaining alternating current loss of a high-temperature superconducting magnet containing an iron core realizes effective calculation of alternating current loss; andhas the characteristics of fast calculation speed, good convergence and high adaptability to large-scale magnets, a calculation result is smaller in error compared with a traditional method, the modeling process is not complicated, and the method is of great significance to assessing the alternating current loss in design of an actual engineering superconducting magnet.

The present invention discloses an SRAM-PUF-based fuzzy safe box authentication method. According to the method, during the registration phase, the feature data of SRAM-PUF are extracted and a secret key S is constructed. Meanwhile, the hash value of the secret key S is calculated. According to the feature data of SRAM-PUF and the secret key S, a fuzzy safe box V is generated for encryption. A corresponding authentication method is provided cooperatively, wherein the fuzzy safe box technology is introduced to the SRAM-PUF-based authentication system. According to the invention, the polynomial reconstruction and the error correction coding are conducted to generate the secret key S. based on the above manner, the reconstruction and authentication of the secret key can still be accurately realized with the presence of a certain error rate PUF. The ambiguity of the PUF and the accuracy of the secret key are organically combined, and an encryption authentication system having the error correction function is provided. As a result, the safety and the reliability in the authentication process are improved. Meanwhile, the method is easy to implement, and can resist various current mainstream attack modes to the fuzzy safe box.

The invention relates to the field of mobile communication, and discloses a method for adjusting power amplifier grid bias voltage to realize energy conservation and consumption reduction according to requirements, comprising a power supply module, a bias voltage adjusting module, a signal collecting and processing module and a power amplifying module. The method specifically comprises the following steps: supplying power supply voltages for the bias voltage adjusting module, the signal collecting and processing module and the power amplifying module by the power supply module; outputting voltage according to a bias voltage adjusting command of the signal collecting and processing module by the bias voltage adjusting module; coupling and collecting signals to be amplified by the signal collecting and processing module; calculating input power value and absolute value of difference between the voltage wave crest and the voltage wave trough and converting obtained results into the bias voltage adjusting command and transferring the bias voltage adjusting command to the bias voltage adjusting module to perform; and amplifying the power of the signals to the amplified according to the bias voltage output by the bias voltage adjusting module by the power amplifying module. The method has the advantages of fewer calculation steps, stable output and less power consumption, and has higher application value.

The invention relates to a method for measuring the content of carbonyl oxygen-containing functional groups on the surface of carbon black. The method aims at solving the problems that in the prior art, when an existing method for measuring the content of carbonyl oxygen-containing functional groups on the surface of carbon black is used, large devices are needed and calculation is complex. The method includes the steps of firstly, configuring and calibrating a standard solution; secondly, measuring a carbon black sample; thirdly, calculating the content of carbonyl oxygen-containing functional groups on the surface of unit carbon black according to the result. The method is completed through a chemical tritration method, experiment steps and calculation steps are simple, no large devices need to be used, the method is easy to implement, and the measurement result is accurate. The method is suitable for measuring the content of carbonyl oxygen-containing functional groups on the surface of carbon black.