59results about How to "Simple theory" patented technology

The present invention concerns the method and installation to apply ocean energy to power generation. It is consisted of the floater, lever, chain, ratchet wheel, flywheel, generator, cable, etc. It is characterized by the fact that the float and weight fixed to it move up and down with the motion of wave, which drive the strength enlargement mechanism made up of a number of levers to travel alternately and pull the heavy flywheel to rotate constantly. By this way, the generator runs and yields electricity. The present invention has simple structure and high efficiency and can easily increase or decrease the enlargement mechanism according to the capacity of generation. This installation with low cost can be widely utilized for pollution-free power generation in the coast.

The invention discloses a distributed multi-sensor fusion algorithm based on AMDs. The algorithm comprises the following steps: S1, initializing system parameters; S2, using a constant false alarm detector to process radar echo information to obtain a measurement information set; S3, independently estimating a target state based on a kalman filter, S4, using high dimensional Gaussian distribution to represent the multi-objective joint posterior probability density; S5, carrying out the dimensionality reduction operation on the joint posterior probability density; S6, sending the AMD of each node to the adjacent nodes; S7, fusing the AMDs by using a generalized cross-covariance algorithm; S8, extracting the target state; S9, setting k = k + 1, if k>K, outputting the target state extracted in the S8 as a track; otherwise, returning to step S2. The distributed multi-sensor fusion algorithm realizes the joint fusion of a plurality of targets under the condition that the estimation errors of the different sensors are considered cross-correlated, has higher adaptability and better robustness, and effectively solves the problem of multi-target joint posteriori fusion in the traditional tracking system.

The invention relates to a method for improving an optical element additional surface shape caused by force of gravity, and a clamping system thereof. The method utilizes the lever principle, and aims at a heavy-calibre ultrathin transmission-type optical element under the condition of effective clear aperture. Through the clamping system provided by the invention, finite-element analysis software is adopted to carry out modeling simulation and determine lengths, widths and positions of a support strip and a pressure strip as well as force applied onto the pressure strip in the clamping system when the optical element is placed to be balanced at different work gestures and has the minimum additional surface shape change. Through changing the force applied onto the pressure strip, the optical element in the clamping system can have the balanced state at different work gestures, so as to achieve the purpose of improving the optical element additional surface shape caused by force of gravity. The clamping system for realizing the method includes a base, the support strip, a baffle plate, the pressure strip, the optical element, as well as an external wrench and a heavy-calibre interferometer. The method and the clamping system provided by the invention can improve the additional surface shape of the heavy-calibre ultrathin transmission-type optical element caused by force of gravity.

The invention provides an HHT end effect restraining method based on data / extreme value joint symmetric prolongation.The method comprises the following steps that firstly, original signals are subjected to end data symmetric prolongation; secondly, extreme points are subjected to symmetric prolongation; thirdly, envelope lines of signals obtained after joint prolongation are obtained; fourthly, EMD is carried out, and IMF components within an original signal time-domain range are intercepted; fifthly, the IMF components including a prolongation part are subjected to Hilbert transformation, and instant frequency within the original signal time-domain range is intercepted.The problem of inherent end swings in EMD and the problem of end divergence in the Hilbert transformation process are solved.

The invention relates to a device for testing spallation strength and application thereof, in particular to a device for testing underground space spallation strength and application thereof. The testing device designed by the invention comprises an air gun (1), a punch head (2), an incident bar (3), a confining pressure providing device (4), a first group of strain gages (5), a second group of strain gages (6), a test sample (7), a transmission bar (8) and an axial pressure providing device (9), wherein one end of the test sample (7) is provided with a groove (10). Since the test sample is simple to prepare and the initial stress of the material is easy to add, the device for testing underground space spallation strength has the advantages of simplicity and quickness in measurement operation, high practicability, high result reliability and the like.

The invention discloses a ground fault protection method of a distribution network, which comprises the following steps: continuously measuring the zero sequence voltage value of an outlet of a distribution line, and when the zero sequence voltage value exceeds a limit, recording s fault characteristic quantities defined as a sample to be measured; and computing the distance between the sample tobe measured and a fault history sample center as well as the distance between the sample to be measured and a non-fault history sample center, and judging whether the distribution line has a fault ornot according to the distance. In the method disclosed by the invention, the spatial relative distance is used as a protection criterion, and a self-learning mode is used for updating the sample centers, thus the protection method has stronger adaptability and higher reliability and can not be influenced by the change of system operation modes. The invention thoroughly solves the problems of difficult judgment and setting and lower reliability of the ground fault protection of the distribution network.

The invention relates to a method of designing a dam-reservoir water coupled dynamic model test on a vibration table, which belongs to the field of hydraulic structure engineering and model test study. A geometrical size of each part of a two-dimensional model dam section and a layout scheme for each related monitoring device are firstly designed; main physical and mechanical parameters of the model material are determined; the dam model is cast, and each test instrument is buried in advance according to the well-designed layout scheme; a water tank which simulates the reservoir is lifted to the upstream side of the model dam; a reservoir tail energy dissipation device is placed at one end, far away from the model dam, inside the water tank; and after the model dam and the water tank which simulates the reservoir are assembled and the test instruments are assembled and connected, a model dam seismic dynamic simulation test is begun. According to the method of the invention, the theory is simple and easy to understand, the construction process is simple, and hydrodynamic pressure borne by the upstream dam and influences on a dam dynamic response by the upstream reservoir water in the case of an earthquake can be accurately measured in a lab.

The invention relates to a metallogenic prediction method based on fuzzy logic and machine learning. The method comprises the following steps: establishing an ore deposit model, wherein the ore deposit model comprises mineralization geological elements, a mineralization process and a mineralization effect; obtaining mineralization prediction elements related to mineralization based on the ore deposit model; preprocessing the mineralization prediction elements; fuzzy processing is carried out on the preprocessed metallogenic prediction elements; determining training data based on the mineralization prediction elements after fuzzy processing; establishing a machine learning model; training the machine learning model based on the training data to obtain a trained machine learning model; and performing metallogenic prediction based on the trained machine learning model. According to the method provided by the invention, the prediction accuracy can be improved.

The invention discloses a method and system for extracting building roof points from airborne laser radar point cloud. According to the method for extracting the building roof points, airborne laser radar point clouds in a measurement area are segmented into a plurality of clusters through three-dimensional Euclidean clustering; a Laplace operator of the DSM for the cluster with a larger area is calculated, and if the proportion of pixels of which the Laplace operator is smaller than a flatness threshold value is high, points in the cluster are divided into building roof points; for clusteringwith a small area, an improved RANSAC algorithm is adopted to extract points on the roof of a building. According to the method, the problems of high calculation complexity and low execution efficiency when the building plane roof points are extracted can be solved, the non-building tree points can be prevented from being classified into the building roof points, and the building roof point extraction efficiency and accuracy are improved.

The invention provides a fractional frequency all-digital phase-locked loop and a control method thereof. The method comprises the following steps: S1, a fractional frequency controller generates a delay control word, a frequency division ratio control word, an integer frequency control word and a fractional frequency control word according to an external fractional frequency control word; s2, theclock generation and control circuit generates a clock signal ckr according to the reference clock and the frequency control word; s3, the digital time converter generates a low-frequency clock signal according to the ckr and the delay control word; s4, the feedback signal generation circuit outputs a feedback signal fb according to the frequency division ratio control word and a high-frequency clock signal ckv generated by the numerical control oscillator; s5, the phase discriminator generates phase error digital signals phe of ckr and fb; s6, the auxiliary frequency locking loop outputs a control signal ft1 according to the integer frequency control word, the fractional frequency control word and the low-frequency clock signal, and the numerical control oscillator updates ckv accordingto the sum of ft1 and phe.

The invention relates to a variation-limited Boltzmann machine based denoising audio feature extraction algorithm, and belongs to the technical field of audio signal processing. The algorithm maps collected audio signals from the input values of a high dimensional visual layer to a low dimensional hidden layer by utilizing the strong unsupervised learning ability of a Boltzmann machine, and realizes the clustering grouping on low dimensional feature data by utilizing a small amount of label information and the appearance probability of audio feature signals which is larger than the probabilityof noise feature signals, so that purposes of denoising audio feature extraction on the audio signals can be achieved. The algorithm is strong in anti-interference capability, low in processed audiosignal length and simple, and accomplishes the denoising, feature extraction and dimension reduction processing on the audio signals at one time; and the algorithm is easy in programming implementation, and has strong stability and robustness for actual audio signal processing.

The invention discloses a calculation method for heterogeneous anisotropic hardened particle peripheral interface volume fractions. The calculation method comprises the following steps that 1, the sizes of heterogeneous anisotropic particles are defined, and particle size distribution of the multi-particle-diameter heterogeneous anisotropic particles is calculated; 2, volume fractions of a base body are calculated; 3, the average volume and the average surface area of the heterogeneous anisotropic particles are calculated; 4, the number density of the heterogeneous anisotropic particles is calculated; 5, the heterogeneous anisotropic hardened particle peripheral interface volume fractions are calculated. The calculation method shakes off the restraint of the original research technology which can only be used for the simplest spherical particles, and the calculation method for interface volume fractions has higher universality and representativeness.

The invention discloses a multi-stage visual precise landing method for an unmanned aerial vehicle, which comprises the following steps of: S1, acquiring internal parameters of an airborne overlook camera and actual landing height requirements of the unmanned aerial vehicle, and constructing a ground visual landing mark of a multi-scale multi-cooperation label; s2, carrying out detection calculation, landing target identification and angular point detection on the ground visual landing mark; s3, calculating a three-dimensional relative position of a landing target position in an airborne overlook camera coordinate system by using a camera attitude estimation algorithm; and S4, according to the three-dimensional relative position and the real-time three-dimensional position information of the unmanned aerial vehicle, the position of a landing target under a vehicle body coordinate system is solved, and landing is completed by adopting a mode of reducing the landing speed stage by stage. According to the method, the unmanned aerial vehicle can be identified and positioned without blind areas in the whole process at different landing heights by detecting different multi-scale multi-cooperation labels on the ground, so that safe, accurate and smooth landing is completed.

The invention relates to a fast and high-precision conversion method for an Earth fixed connection system-an inertial system based on relative rotation. The method comprises steps of 1, preparation; 2, initial parameter calculation; 3, outputting an ephemeris interpolation table; 4, reading the ephemeris interpolation table; 5, initializing a correlation matrix at the time t; and 6, solving a coordinate transformation matrix corresponding to the time t. A fast coordinate transformation calculation method for a fixed connection system-an inertial system based on relative rotation is brought forward through the steps above, and the method is used for calling relevant subroutines of SOFA only when the ephemeris interpolation table is generated in advance; after the ephemeris interpolation table is generated, only looking up the interval containing the corresponding to-be-solved time in the table, reading relevant parameters, performing linear interpolation and finally substituting valuesinto a corresponding matrix and completing three multiplication operations are required. The method consumes only a small amount of calculation, does not require too much astronomical theoretical background, is inexpensive and easy to implement, has important significance in guidance and navigation of aerospace, and can be used to quickly transform coordinates of the fixed connection system into coordinates of the inertial system. Compared with a traditional SOFA-based program method, the method greatly reduces complexity and can achieve the same function at small computational cost while guaranteeing certain precision.

The invention relates to a denoising audio resampling algorithm based on signal frequency probability density function distribution and belongs to the technical field of audio signal processing. According to the algorithm, a collected audio signal is processed through utilizing the excellent denoising capability and the forward prediction function of a Kalman filter to obtain a denoising audio with the short-term prediction function, Fourier transform is performed for a processed audio signal to obtain a spectral function of the audio signal, and the audio signal is resampled under the controlof a probability density function p(f). Redundant sampling points are reduced, the collected audio signal is subjected to Kalman filtering processing to obtain resampling data, the processing resultis smoother compared with other algorithms, the recovered audio signal is of higher quality, real-time performance of audio signal processing is improved, the algorithm is simple in theory, programming is further easy to implement, and practical engineering applications further have strong stability and robustness.

The invention provides a modeling method for the process reliability of a marine diesel engine body machining process. The modeling method is used for accurately evaluating the process reliability ofthe marine diesel engine body machining process. The engine body serves as the assembly basis of parts, components and parts of the marine diesel engine, and the machining quality of the engine body has direct influence on assembly and use of the marine diesel engine. The research on the reliability of the marine diesel engine body processing technology is of great significance for improving the diesel engine quality. Based on this, the engine body machining process flow is analyzed, the engine body machining key procedures are determined, the engine body machining key characteristics are determined through PFMECA analysis, and a marine diesel engine body machining process reliability model considering erroneous judgment is established. The method can effectively evaluate the machining process reliability of the marine diesel engine body, improve the machining quality and reduce the production cost.

The invention provides a shallow sea wind electricity facility force absorption pile, and belongs to the field of ocean equipment. The pipe comprises an outer cylinder, grouting pipes, an inner cylinder, a vacuum pump, a one-way valve, an upper arc-shaped body, a lower arc-shaped body and plugs. The grouting pipes are installed between the outer cylinder and the inner cylinder. The outer cylinder, the inner cylinder and the grouting pipes are fixed to be a whole through linear laser welding, and stress on welding portions is eliminated through Hawking. The upper arc-shaped body and the lower arc-shaped body are welded in the inner cylinder, wherein the upper arc-shaped body is provided with the vacuum pump, the lower arc-shaped body is provided with the one-way valve, and the lower ends of the grouting pipes are provided with the plugs. The eight grouting pipes are uniformly distributed between the outer cylinder and the inner cylinder. The plugs are cone-shaped and are made of magnetic steel. Welding line stress elimination can be achieved on the upper arc-shaped body and the lower arc-shaped body which are welded in the inner cylinder through Hawking. The outer cylinder and the inner cylinder are both big-end-up and are cones with force absorption characteristics. The pile is simple in structure, convenient to insert, large in bearing capacity and little in pile pulling resistance, construction difficulty is the same as that of a cylindrical leg pile, all principles and theories which are used are simple and mature, and reliability of the device is high.

The invention discloses a reservoir area anti-seepage geomembrane seepage overhauling device and an overhauling method thereof, and belongs to the field of hydraulic structure engineering applicationstudy. According to the reservoir area anti-seepage geomembrane seepage overhauling device and the overhauling method thereof, concrete anti-seepage walls are adopted to divide the bottom (the lower portion of an anti-seepage geomembrane) of the whole reservoir area into a plurality of small-area independent areas, a drainage blind ditch is arranged below the anti-seepage geomembrane of each areaand connected with a drainage pipe, and the drainage pipes are connected to flow monitoring equipment arranged outside the reservoir area; and after water storage of a reservoir, the water flow changes of the drainage pipes corresponding to the different independent areas in the reservoir can be observed to accurately judge the area where the anti-seepage geomembrane seeps, and accordingly the accurate geomembrane positioning and overhauling function can be achieved. By means of the reservoir area anti-seepage geomembrane seepage overhauling device and the overhauling method thereof, the waterseepage area after water accumulation can be accurately found, water is drained to the water seepage elevation position for repairing, accordingly, the anti-seepage geomembrane can be repaired, wastecaused by excessive water drainage can be avoided, the water seepage position can be accurately found without mistakes, and the water resource, capital and manpower are saved.

The invention discloses a general image noise estimation method based on self-similarity measure, which includes such steps as S1, generating an image with constant pixel value, adding Gaussian noisewith known standard deviation of noise intensity to the image, performing block matching and row matching on the noisy image, and calculating average minimum distance metric Dmean; 2, obtainING that correspondence relationship between the noise standard deviation and the stability of the distance metric according to the mean minimum distance metric Dmean; S3, estimating the noise intensity sigma 1according to the obtained correspondence relation for the actual noisy image and simultaneously generating a distance metric mapping image; S4, judging the smooth region in the image by using the result and the obtained distance metric map image, estimating the noise only in the smooth region of the image, and finally obtaining the accurate noise intensity sigma through two-step iteration. The invention does not need any image transformation, only carries out image self-similarity measurement in the spatial domain, the theory is very simple, and the whole process only uses the Euclidean distance to calculate the self-similarity of the image.

The invention discloses a ball-end mill cutter five-axis machining instantaneous cutting thickness solution method. The method comprises the following steps: (1) a three-dimensional ball-end mill cutter model is established according to ball-end mill cutter parameters, and a three-dimensional workpiece model is established according to workpiece parameters; the mill parameters are set with the ball-end mill cutter model acting as the tool body and the workpiece model acting as the object, and the real three-dimensional machined surface model is obtained by Boolean subtraction; (2) the auxiliary entity is established based on the instantaneous cutting thickness theory; (3) the instantaneous cutting thickness entity after Boolean intersection operation of the auxiliary entity and the machined surface model under the same mill parameters is solved; (4) and the instantaneous cutting thickness of the ball-end mill cutter is calculated by using datum plane discretization according to the cutting thickness entity model. The intersection entity three-dimensional model of the auxiliary entity and the machined surface is established through the Boolean operation method and the instantaneouscutting thickness is obtained so that the theory is simple, the solution efficiency is high and the engineering application value is high.

The invention discloses a radar echo signal normalized window filtration method which comprises the following steps of: acquiring a radar echo original signal and performing normalized window Stockwell transformation and spectrum transformation; acquiring a radar echo signal with a high-frequency clutter and a low-frequency clutter, performing normalized window Stockwell transformation, and analyzing and determining a time-frequency filtration operator according to a two-dimensional time frequency; filtering the high-frequency clutter from the radar echo signal with the high-frequency clutter and the low-frequency clutter through a time-frequency filter, and performing TT transformation; filtering the high-frequency clutter according to the designed time-frequency filter, and performing TT transformation; extracting elements, namely the suppressible low-frequency clutter, near the diagonal line; and performing TT inversion transformation, and thus obtaining the filtered radar echo signal. The radar echo signal normalized window filtration method has the advantages of effectively filtering the clutters and keeping good characteristics of the original signal with small calculation amount, simplicity in implementation and the like.

The invention discloses a method and a system for classifying and expanding building points in airborne laser radar point cloud. The method for classifying and expanding the building points comprisesthe following steps of: 1, acquiring a preliminary classification result of the airborne laser radar point cloud in a measurement area; 2, clustering the building point cloud data C1 by adopting three-dimensional Euclidean clustering; 3, setting a building point expansion candidate point set; constructing an index for the building point expansion candidate point set; 4, respectively calculating aboundary and a space containing box of each building point cluster on an XY plane; 5, performing first-class classification expansion on N1 building point clusters in sequence; and 6, performing second-class classification expansion on N1 building point clusters in sequence. Aiming at the problem of incomplete classification of automatic classification of building points in airborne LiDAR point clouds in the prior art, points which are not classified successfully are classified again.

The invention discloses a method for constructing a geometric topology structure of a peripheral interface transition area of concrete heterogeneous anisotropy aggregate. The method includes the following steps of firstly, determining the geometric shape of aggregate particles, and dividing the aggregate particles through tetrahedron units to obtain information of vortexes of each tetrahedron unit; secondly, geometrically obtaining an interface topology area corresponding to each vertex of the composition particles; thirdly, geometrically obtaining an interface topology area corresponding to each edge of the composition particles; fourthly, geometrically obtaining an interface topology area corresponding to each triangular facet of the composition particles. On the basis of computer graphics, the uniform-thickness interface topology structure on the periphery of the complex-form aggregate particles under the Minkowsky summation mechanism is geometrically obtained. The method has the advantages of being simple in theory, convenient to operate, low in hardware requirement and the like.

The invention relates to the technical field of combustion, in particular to a constant-volume combustion technology adopting a rotating valve to control opening and closing of a combustion chamber and a power system applying the constant-volume combustion technology. A device used for the constant-volume combustion technology comprises a base, a rotating shaft and the combustion chamber; a stepped through hole is formed in the base and matched with the rotating shaft in mounting; a gas inlet and a gas outlet are axially formed in the middle section of the top of the base and matched with a gas inlet and a gas outlet of the combustion chamber in mounting in a penetrated manner; a gas inlet passage and a gas outlet passage are axially formed in the rotating shaft; a gas inlet passage outlet groove is formed in the front section of the rotating shaft and communicated with the gas outlet passage and cooperates with the gas outlet in the top of the base to control opening and closing of the combustion chamber; a flow rectifying blade is arranged inside the combustion chamber. The constant-volume combustion technology has the advantages that the device can cooperate with the fixed base and the combustion chamber through the rotatable rotating shaft to control opening and closing of the combustion chamber so as to achieve constant-volume combustion, and the device is simple in structure and reliable in working.

The invention, which belongs to the technical field of audio signal processing, relates to a kernel-function-based dimension reduction method of an audio feature signal. Dimension reduction processingis carried out on a feature parameter of an audio signal; the required dimension reduction effect is realized while the audio feature information amount is not abandoned; and then last dimension reduction data are displayed visually and comparative analysis is carried out on the last dimension reduction data and results obtained by other audio feature parameter dimension reduction methods. According to the invention, for dimension reduction of the audio feature parameter, dimension reduction processing is mainly carried out on a linear prediction coefficient, a linear prediction cepstral coefficient and a Mel frequency cepstral coefficient in an audio coefficient domain and the data results after dimension reduction are displayed visually. The audio feature dimension reduction processingcan be applied to broadcast signal monitoring and quick identification processing of audio signals. The algorithm is simple and the nonlinear kernel function is used for expressing a mapping relationship between Gaussian observation space and hidden space, thereby overcoming defects of usage range limitation and poor dimension reduction effect of the linear mapping method.

The invention relates to an intelligent computer system applied to artificial intelligence. The intelligent computer system is brand new computer system architecture. The invention aims to perform proper extension on the conventional computer system structure to solve the basic problem of simulation of human intelligence in artificial intelligence. The product is simple in structure, flexible to mount, convenient to maintain and high in practicability, and has great market prospect.

The invention provides an EMD-based transient state and steady state response calculation method under the action of a non-steady signal. The method includes the steps that 1, the non-steady signal is decomposed into multiple IMF components with the EMD; 2, fitting simple harmonic processing is carried out on all semiwaves in each IMF component, wherein firstly, linear interpolation is carried out on the current IMF component, all the semiwaves in the current IMF component obtained after interpolation are fitted into simple harmonic waves in sequence, and every time each semiwave is fitted, the semiwave acts in the system and then the transient state response and steady state response of the semiwave are calculated; secondly, the obtained transient state responses and steady state responses of all the semiwaves in the current IMF component are stored in an array; thirdly, the next IMF component is processed, and the first step is executed again till the transient state responses and steady state responses of the semiwaves in all the IMF components are calculated and stored in arrays in sequence; 3, the arrays corresponding to the IMF components are superposed. According to the method, the calculation time is short, and the result is reliable.