163results about How to "Reduce calculation steps" patented technology

The invention discloses a modulation method of a three-level space vector, a reference space vector is converted to a first sector; the reference space vector of the first sector is converted to an alpha-beta coordinate system; the number of a triangle located by the reference space vector is obtained by the reference space vector in the alpha-beta coordinate system; a basic space vector of the reference space vector is determined and synthesized according to the number of the triangle; the action time of the basic space vector is calculated; the calculated action time is mapped into the action time of the basic space vector of the original sector. The method of the invention converts the reference space vectors of various sectors to the first sector, sums up the mapping relationship between the action time of the first section and the action time of other sectors and can direct obtain the action time of the basic space vectors of other sectors according to the mapping relationship. The method of the invention can reduce the calculation steps, so the method is both applicable to the reference space vectors under a rectangular coordinate system and a polar coordinate system.

The invention discloses a method for determining a maximum thickness of a blade based on a moving least square method. The method comprises the steps of: acquiring a plurality of sections for a blade to be measured and respectively generating corresponding point cloud data; extracting the point cloud data to acquire a convex hull, acquiring front and rear edge graphics of the blade section by matching, and acquiring data points reflecting two areas including a blade section basin and a section blade back; acquiring an initial position associated with the maximum thickness of the blade by an iterative algorithm; matching near the acquired initial position by the moving least square method, so as to acquire more intensive related data points on the blade basin area and the blade back area; and performing the iterative algorithm again by using the acquired related data, and finally determining the maximum thickness of the blade. The invention further discloses a corresponding convex hull optimized extracting method. Through the method, the maximum thickness accuracy of the acquired blade can be greatly improved, and accuracy of the measured result can be simultaneously ensured while calculating steps are reduced.

The invention discloses a method for measuring blade machining torsion degree errors. The method comprises the following steps of: intercepting a plurality of cross sections respectively for a to-be-measured blade and a blade design model, and generating corresponding point cloud data; extracting the generated point cloud data so as to acquire a convex hull; according to the obtained convex hull, solving the chord line parameters of each cross section of the relevant blade measurement model and the blade design model respectively, namely the two-end-point coordinates of a chord line; according to the solved chord line parameters, calculating the required rotation angle when each cross section of the blade measurement model and the corresponding cross sections of the blade design model are overlapped, thereby obtaining the torsion degree errors of each cross section of the to-be-measured blade. The invention also discloses a corresponding improved method for extracting the convex hull. According to the invention, the torsion errors of the blade can be rapidly and accurately measured in the machining process, also the measured sectional surface torsion degree error result can be taken as an index for evaluating the blade machining quality, and the blade machining quality is improved correspondingly.

The invention discloses a target tracking method applied to a panorama image and a panorama camera. The target tracking method applied to an panorama image comprises steps of using each moment of N wide-angle lens to collect N wide-angle images, wherein N wide-angle images collected in every moment correspond to a panorama image of one frame, extracting a plurality of projection window images from N wide-angle images according to a corresponding relation between the wide angle image and a pixel point of the projection window image, using tracking targets in all wide angle images corresponding to an adjacent frame or adjacent multiple frames of panorama images to perform tracking in the plurality of projection window images extracted from N wide angle images corresponding to the panorama image of the current frame, wherein the panorama image of the adjacent frame or the panoramas of the adjacent multiple frames are before the panorama image of the current frame. The target tracking method applied to panorama image and thepanorama camera can effectively improve instantaneity and accuracy of the tracking target.

Disclosed is a method for measuring the posture of a non-contact type excavator working device based on the visual measurement. A circular piece with obvious image saddle point characteristics is pasted on the working device to be used as a mark characteristic point, then an industrial camera on a cab machine frame is used for shooting an image of the excavator working device, a saddle point detection method is applied to online detecting all image saddle points, comprising the characteristic piece center points, on the image of the working device in real time, image saddle points of non-characteristic piece center points are filtered out through the distance between characteristic pieces, the inclined angles of components of the working device are obtained through the connecting line inclined angle between the characteristic piece center points, and therefore the posture of the working device is measured. According to the measuring method, the posture of the excavator working device can be dynamically measured, no easily-damaged and precise parts are arranged on the working device, the reliability of measurement and control over an excavator is improved, and the maintenance cost is reduced. The detection result is accurate, the calculation steps are few, the method is simple, the measured dynamic response speed is high, and the real-time performance is good.

The invention relates to a DFT (discrete Fourier transform) based synchronous phaser phase angle measurement method. The method includes: 1), calculating out the frequency deviation rate delta lambda by the aid of a frequency tracing technology to trace instantaneous frequency f of electric signals according to the rated frequency fo of the electric signals and the instantaneous frequency f, and calculating out a fixed error value of the synchronous phasor phase angle according to the frequency deviation rate delta lambda and sampling points N of one same period of the electric signals; 2), respectively subjecting the front N/8 points and rear N/8 points of the to-be-measured phase angle to DFT to acquire phasors X2 and X3, multiplying the phasor X2 by corresponding rotating factors and coefficients, multiplying the phase X3 by corresponding rotating factors and coefficients, adding the two to acquire a new phasor X and calculating phase angles Qm of the new phasors; 3), performing fixed error compensation on the acquired phase angles Qm of the new phasors in the step 2) to acquire accurate phase angle measurement values. With the method, synchronous phasor phase angle measurement value precision with the DET algorithm under the asynchronous utilization condition can be effectively improved, and a good inhabiting effect on harmonic waves is achieved.

The invention provides a fundus image blood vessel segmentation method which comprises the following steps of S1, carrying out augmented operation on a fundus image data set, namely cutting an original image according to a certain rule to obtain an augmented data set, and dividing the data set into a training set and a test set; S2, carrying out blood vessel segmentation on each fundus image sample in the augmented training data set by using a segmentation network to obtain a black-white probability graph, and carrying out image processing to obtain a probability graph of segmented images in the training data set; S3, using a discrimination network to distinguish whether the probability graph is obtained by a segmentation network or a segmentation image in a data set, and obtaining a confidence graph with a numerical value range of 0-1 to describe the probability that the input image is judged to be true or false; and S4, inputting the color fundus image in the test set into the trained network, and splicing the obtained result images to obtain a complete segmentation image of the fundus blood vessel, wherein the step S2 and the step S3 perform fundus image blood vessel segmentation based on the generative adversarial network, and before the step S4, the segmented network in the step S2 and the judgment network in the step S3 are sequentially subjected to iterative training according to the designed loss function, and the performances of the two networks are respectively improved in a game mode. The method is based on the superiority of the generative adversarial idea in data generation, does not depend on selection of initial features, reduces the complex calculation steps, effectively improves the segmentation precision of fundus image blood vessels, and especially has the excellent performance on tiny blood vessels.

The invention relates to a method for isochronous modulation of a closed loop based on a space vector. The method comprises the following steps: obtaining reference voltage, voltage Vdc on the direct current side and fundamental wave angular frequency Omegas; calculating a modulation ratio m; calculating an angle Delta Theta passed by the reference voltage and an angle Thetam modulated by the reference voltage; calculating an angle outputted by an impulse sequence through the angle Delta Theta passed by the reference voltage, the angle Thetam and the modulation ratio m modulated by the reference voltage; comparing the variation Delta Thetas of the angle Thetas of the fundamental wave angular frequency Omegas with time integral to the angle outputted by the impulse sequence; and outputting the impulse sequence according to comparative results. The method directly takes the angle as a datum, and replaces an amount containing harmonic wave and noise by using a stable quantity, thereby avoiding the reduction of synchronous modulation performance caused by the harmonic wave and the noise in a closed loop system, and ensuring more accurate isochronous modulation.

The invention provides a coherent light modulation format recognition method based on self-adaptive non-iterative clustering; the method comprises the following steps: according to distribution of thesignals on the least squares plane of a stokes space, two simple parameter establishing decision graphs are constructed for clustering center selection; meanwhile, according to the conditions of different modulation formats and signal-to-noise ratios, a decision threshold value of the clustering center on the decision graphs is adaptively selected; therefore, higher recognition precision is achieved. The method has the advantage that the Stokes space modulation method is insensitive to large-phase noise and polarization crosstalk of a coherent light receiver; meanwhile, the limitation that the algorithm is low in high-order modulation format recognition precision and high in complexity is broken through; relatively high recognition accuracy of the high-order modulation format under the low signal-to-noise ratio is achieved; iterative calculation is not needed; and the recognition method is relatively low in complexity.

The invention discloses a simulation calculation method and a simulation system based on state variable discretization. The simulation system comprises a system parameter acquisition processing module, a simulation value calculation module and a simulation control module, wherein the system parameter acquisition processing module is used for acquiring a state variable matrix during kth-step simulation calculation according to changed system input of the kth step relative to the (k-1)th step and a uniquely changed state variable during kth-step simulation calculation; the simulation value calculation module is used for executing a simulation calculation method based on state variable discretization; the simulation control module is used for judging the relation between the system simulation calculation current moment updated after kth-step simulation calculation and the system simulation ending moment, if the system simulation calculation current moment is larger than or equal to the system simulation ending moment, simulation is ended and a simulation result is output. Therefore, simulation calculation is performed on the basis of state variable discretization, the accuracy of the simulation result is improved, simulation velocity is increased, and numerical stability is improved.

The invention discloses a bearing capacity design method for a prestressed concrete structure. The existing design method for a statically indeterminate prestressed concrete structure has the problems of the influence on the transfer of the prestressed concrete structure and on design calculation results caused by lateral confinement structures, such as a post, a wall and a cylinder. The bearing capacity design method for the prestressed concrete structure comprises the following steps of distinguishing the concrete structure of an unconfined lateral structure from a concrete structure of a confined structure, and introducing a lateral confinement influence coefficient; calculating the cross-sectional area of a longitudinal prestressed tendon in a tensioned area; determining the sum of a bending moment value caused by tensioning the prestressed tendon and the designed bending moment value of a control cross section external load; establishing effective prestress tensioned to the prestressed tendon; passively providing resisting force by the part, higher than the effective prestress, of the designed tensile strength value of the prestressed tendon; calculating normal section bearing capacity of a prestressed concrete flexural component with a rectangular section of the unconfined lateral structure; introducing the lateral confinement influence coefficient for modifying to obtain a calculation formula for the normal section bearing capacity of the prestressed concrete flexural component with the rectangular section of the confined lateral structure. The bearing capacity design method is applied to the bearing capacity design of the prestressed concrete structure.

The invention discloses an aircraft attitude control method based on deep learning, comprising the steps of S1, acquiring 47 pieces of state data of an aircraft in real time and normalizing the data;S2, inputting the normalized data into an aircraft attitude control network to obtain two aircraft attitude control quantities including an angle of attack change rate and an angle of inclination change rate which are described in the specification; and S3, after the aircraft attitude control quantities are obtained, calculating attitude parameters, including an angle of attack at+[delta]t and anangle of inclination [theta]t+[delta]t, required by the aircraft. Compared with an existing aircraft attitude control method, the method of the invention directly inputs the aircraft parameters into the constructed aircraft attitude control network, thereby obtaining the attitude parameters. The method constructs a network for extracting a relationship between data by using an intelligent manner,and eliminates a calculation steps in the prior art, and achieves high accuracy.

The invention discloses a track detector track direction irregularity measuring method based on an improved chord measuring method. The method includes the following steps: first, n track basic chord track direction measured values corresponding to mileage are input, and the corresponding chord is recorded as (A<i-2>, Ai); a straight line where the chord (A<i-2>, Ai) is serves as an X axis, A0 serves as an original point, and an axis which is vertical to the X axis and downward serves as a Y axis, a rectangular coordinate system is built; then, an included angle theta(i) between a line segment (A<i-2>, Ai) and the X axis is calculated; then coordinate values of A0, A1,..., An are calculated, and an equation of a straight line where the line segment (A0, An) is is calculated; and finally, distance from the Point A<n/2> to the abovementioned straight line is determined, i.e., the track M-meter chord track direction irregularity. The track detector track direction irregularity measuring method based on the improved chord measuring method is not easy to accumulate a bigger error due to a small error obtained by measurement, and calculation of a track direction value on a non-circular curve track can also obtain a relatively ideal result.

The invention provides a cold wallet generation method and device, a transaction information processing method and device, electronic equipment and a readable storage medium. The cold wallet generation method comprises the steps of obtaining an assistant word with an actual expression meaning corresponding to a user, generating a parent seed file according to the assistant word, obtaining hidden transaction function keys of all levels according to the parent seed file, and generating an account address corresponding to a hidden transaction according to the hidden transaction function keys of all levels. Thus, the generated cold wallet has the account address specially used for hiding the transaction and the parent seed file capable of being used for generating the related function key of the hidden transaction, so that the cold wallet can complete the Zcash hidden transaction, and the problem that the existing cold wallet equipment does not support the complex hidden transaction is solved.

A vehicle analysis method based on vehicle detection tracking comprises the following steps: (1) obtaining a video frame image, carrying out vehicle detection on the video frame image, and calibratinga vehicle frame on an initial frame image; (2) establishing a template feature: expanding the vehicle frame of the initial frame image to obtain a background frame, extracting the image feature of the background frame, and establishing a position template feature; Carrying out multi-scale zooming on the vehicle frame, extracting image features for each scale, and establishing scale template features; (3) inputting the next frame of image, establishing a real-time feature, establishing a correlation between the real-time feature and the template feature, obtaining a target frame position, andcompleting vehicle tracking; (4) repeating the step (3) for tracking; When the number of tracked frames reaches a preset numerical value, repeated detection is started from the step (1), and then tracking is carried out; And (5) obtaining all vehicle frames of the vehicle, and analyzing the motion trail of the vehicle.

The invention provides a multi-target tracking method applied to a panoramic video and a panoramic camera. The method comprises the steps that the panoramic image of a certain frame in the panoramic video is selected as the panoramic frame of an initial frame; N projection images are selected from the panoramic frame of each frame after the panoramic frame of the initial frame; M track targets areselected from all projection images corresponding to the panoramic image of the initial frame and the panoramic images of the subsequent adjacent H frames; the panoramic image of the initial frame isused as the panoramic image of the first frame; for the panoramic image of each frame after the panoramic image of the first frame, each track target in N projection images in the panoramic image ofthe i-th frame is used for tracking to acquire at least one successfully tracked target in N projection images in the panoramic image of the (i+1)-th frame. According to the multi-target tracking method applied to the panoramic video and the panoramic camera, a number of track targets can be effectively can tracked, and the tracking instantaneity of a number of track targets can be improved.

The embodiment of the invention provides a wind power interval prediction method, a system and a storage medium. The method comprises the steps of comprehensively utilizing the one-step prediction interval structure characteristic of the LUBE boundary estimation theory and the time sequence modeling capability of a GRU neural network, establishing an interval prediction model based on the neural network based on the LUBE boundary estimation theory, and enabling the output layer of the interval prediction model to comprise two neurons; directly generating a prediction interval according to theinput tensor, The neural network comprises a GRU recurrent neural network and a full-connection neural network. The GRU performs time-dependent modeling on the multivariable time sequence, and the full-connection neural network is used for obtaining the upper and lower bounds of a prediction interval. Secondly, aiming at the defect that the evaluation function of the prediction interval cannot bedifferentiated, the evaluation function of the prediction interval is improved, the difficulty that a traditional LUBE cannot adopt a gradient descent method is overcome, a GRU deep learning algorithmis effectively integrated into an LUBE model system, and the prediction precision is improved under the condition that calculation steps are reduced.

The invention discloses a wireless sensor network broadcast identity authentication method based on chaos, which is characterized by comprising the following steps: 1) system initialization, 2) secretkey generation, 3) message broadcasting, 4) identity authentication, 5) sender revocation. According to the method, the security of identity authentication of the wireless sensor network can be ensured; furthermore, the resource consumption of the wireless sensor network can be reduced, and various attacks can be resisted.

The invention provides a data encryption method, a federal modeling method, a federal modeling device and computer equipment, and the method comprises the steps: generating an RSA public and private key pair, and transmitting an RSA public key to a second client; obtaining second encrypted data obtained by performing blind operation on a second user ID by the second client based on the RSA public key; using an RSA private key to sign a first user ID to obtain first encrypted data, performing blind signature on the second encrypted data to obtain third encrypted data, and sending the first encrypted data and the third encrypted data to the second client; obtaining a random number set generated by the second client based on the first encrypted data and the third encrypted data; and performing mapping association on the random number set and first encrypted data. In the privacy intersection process of the two interaction parties, encryption operation is carried out for multiple times, and the risk that the intersection ID and internal data of the two interaction parties are leaked is effectively reduced through random number processing.