46results about How to "High precision characteristics" patented technology

The invention relates to a high-integrality robot joint. The high-integrality robot joint comprises a mechanical system, a joint electrical system and a sensor system, wherein the mechanical system, the joint electrical system and the sensor system are integrated in the joint; the mechanical system comprises a power-off brake; the joint adopts a large hollow shaft structure, and wires in the joint are all arranged in hollow inside space. The high-integrality robot joint has the benefits as follows: the high-integrality robot joint has the characteristics of small size, small dead weight, high load capacity and high integrality; output performance requirements for a motor are reduced while output torque is increased through a large reduction ratio of a harmonic reducer; meanwhile, slide control of the motor is realized through a motor encoder, the high-precision characteristic of output of the joint is guaranteed through an absolute joint encoder, position keeping of a robot is realized through the power-off brake under the power failure condition, and safety of the robot during movement is improved.

A laser module co-axis adjustment structure includes a laser module that includes an optical module and a laser diode housed inside a hollow casing and a circuit board for controlling the laser diode to emit a laser beam through the optical module, and an eccentric sleeve, which is rotatable relative to the casing through 360-degrees and has an eccentrically disposed inside sloping surface stopped against the periphery of the hollow casing of the laser module for enabling the eccentric sleeve to be rotated relative to the laser module to adjust the mechanical axis of the eccentric sleeve into alignment with the optical axis of the optical module of the laser module. The eccentric sleeve and the hollow casing may be affixed with an adhesive after calibration of the alignment.

The invention discloses a deformation speckle generation method based on a reverse mapping method. The method is characterized in that speckle particles which are generated randomly are used to superpose and generate a reference image and each pixel point position gray level in a speckle picture is known; a shape function describes corresponding pixel point positions before and after deformation, and inverse transformation is performed on the shape function, which satisfies the following equation: (x, y)=F(x', y'), the position (x', y') after the deformation is known so that the position (x, y) before the deformation can be obtained. A gray level value of the position point before the deformation of a whole pixel position is generated through speckle particle gray level superposition. A gray level of the position before the deformation is extracted and fills into a corresponding position after the deformation so that a speckle picture after the deformation can be generated. A speckle picture generation process is simple and accords with a deformation requirement of an actual experiment.

The invention discloses a method for extracting earthquake-induced landslide volume by using a TanDEM-X bistatic InSAR. The method includes the following steps of: 1) bistatic InSAR interferometric phase calculation; 2) bistatic InSAR differential phase estimation; 3) pre-earthquake and post-earthquake ground surface elevation change estimation; and 4) earthquake-induced landslide volume calculation. The differential phase of the corrected TanDEM-X bistatic InSAR can be acquired through TanDEM-X bistatic InSAR interferometric phase, external DEM simulation phase and high-precision GPS or ICESat correction points; pre-earthquake and post-earthquake ground surface elevation change results can be obtained; and earthquake-induced landslide volume can be calculated through earthquake-induced landslide boundary catalogue data, pre-earthquake and post-earthquake optical remote sensing data. The method for extracting the earthquake-induced landslide volume has advantage of high resolution, high accuracy, capability of extracting face-shaped and large-area earthquake-induced landslide volume, and low cost. With the method adopted, ground measuring equipment is not required to be laid.

The invention relates to an integratable bus power supply circuit which comprises a current limiting source module, a LDO (low dropout regulator) module, a function module, a receiving and constant current transmitting module and a second diode. The current limiting source module is respectively connected with a bus cathode line Ln, a cathode of the second diode, the receiving and constant current transmitting module and the LDO module, the LDO module is respectively connected with the function module and the receiving and constant current transmitting module, and the function module is connected with the receiving and constant current transmitting module. The integratable bus power supply circuit is suitable for current CMOS (complementary metal oxide semiconductor) processes, easy to integrate and low in cost; requirements on limiting bus impact current are met; a power source provided to the function module has high uniformity and good temperature characteristics and is unaffected by process factor.

The invention discloses a method for constructing a particle cluster discrete element model of a convex polyhedral aggregate in any shape. The method comprises the following steps of performing topological information retrieval on a boundary model of the convex polyhedral aggregate in any shape, and establishing a topological information library of the model, wherein the topological information library includes a vertex information library, an edge information library and a surface information library; and performing retrieval on the surface information library, the edge information library and the vertex information library separately, traversing all triangular surfaces, all edges and all vertexes of the model, and putting spheres on the surfaces, the edges and the vertexes in sequence until the spheres cannot be successfully put on the surfaces, the edges and the vertexes. The method for constructing the particle cluster discrete element model of the convex polyhedral aggregate in any shape is simple in thought, easy to realize by programming and relatively small in computing error, and a deformation law better conforms to a deformation state of an actual test piece; and through simulation experiment analysis, the effectiveness and high-precision characteristic of the method for constructing the particle cluster discrete element model are verified.

A high-accuracy and computational efficient phase-discriminating device is provided and includes a phase-discriminating unit. The phase-discriminating unit converts an input and a reference signals into an input and a reference sequences respectively by a one-bit A / D conversion operation, determines a first value, an in-phase component and a quadrature component of the input signal in response to the input and the reference sequences, and produces an estimated phase of the input signal according to a relation among the first value, the in-phase component and a polarity of the quadrature component, wherein the first value is a certain integer being one of a first integer and a second integer, the first integer is a sampling count of the one-bit A / D conversion operation for producing the input sequence, and the second integer is a summation of an absolute value of the in-phase component and that of the quadrature component.

The invention discloses a ground nuclear magnetic resonance retrieval method based on a harmony search algorithm. A restraining R-TLS retrieval model is built, and the retrieval accuracy is improved under the condition that a background region resistivity distribution value sequence and an initial amplitude value sequence of measurement signals have errors; an IHS algorithm is provided to solve the non-linear optimization problem of converting the model to be restrained by conditions through formula derivation. The IHS algorithm enables a standard HS algorithm to have good ergodicity in the early stage and a high accuracy characteristic in the later solution stage. Due to the limitation of the restraining conditions, the IHS algorithm can still carry out solution accurately when a retrieval matrix equation is an underdetermined equation, and the limitation of the maximum division layer number of an aquifer in the retrieval model is eliminated.

In order to solve the problem of reactant concentration control of a chemical reaction system in a process industry, the present invention provides a continuous stirred reactor system control method based on a Hammerstein model. Using the Hammerstein model, a highly precise mathematical model for a continuous stirred reactor system is established; and applying a combined signal source, parametersof each serially connected model are estimated, thus designing a controller with a special structure of the model. The method firstly, according to input-output data of a separable signal, adopts a correlation analysis method to estimate parameters of a dynamic linear module in the model. Secondly, based on the input-output data of a random signal, parameters of a static nonlinear module in the model are estimated through a clustering method and a stochastic gradient method. Finally, using the special structure of the Hammerstein model, the problem of reactant concentration control of the continuous stirred reactor system is converted into a linear system control problem, thereby simplifying design of a control system and achieving a good control effect.

The invention discloses a machine hinge vertical compression clamping mechanism, which comprises a mould clamping cylinder assembly, a solid plate, a mould clamping pull rod, a movable mould plate, a machine hinge assembly, a tail plate, a thread mould adjustment assembly, and a mould shifting and driving execution assembly, wherein the mould clamping cylinder assembly is fixedly arranged on the outer side of the solid plate; the thread mould adjustment assembly is arranged on the outer side of the tail plate; the movable mould plate is arranged between the tail plate and the solid plate and is connected with the tail plate through the machine hinge assembly; one end of the mould clamping pull rod penetrates through the tail plate so as to form threaded connection with the thread mould adjustment assembly; the other end of the mould clamping pull rod penetrates through the solid plate so as to form movable fit connection with the mould clamping cylinder assembly in a manner of a mould clamping cylinder piston rod and form a mould clamping cylinder; the mould shifting execution assembly is arranged on the tail plate and form movable connection with the machine hinge assembly; and a code mould face of the solid plate is sequentially milled to be microsize from the center to the outer side so as to form a micro step face. According to the machine hinge vertical compression clamping mechanism, high speed and high efficiency can be realized, energy consumption is lower, mould adjustment is smoother, mould clamping precision is high, and production precision is greatly improved.

The invention discloses an iGMAS multi-analysis center and multi-satellite system precision orbit product integration method. For a same satellite system, a plurality of analysis centers provide the orbit data of each satellite in the satellite system, according to the orbit data, the preprocessing of a precision orbit product is performed, and an orbit value median of the same satellite in different analysis centers is selected as the initial integration orbit of the satellite. A similarity transformation equation is established between an analysis center orbit and an integration orbit. According to a least square principle, adjustment is performed, similar transformation parameters and a residual error are resolved, a weight function and variance component estimation method is used to estimate the weights of different types of satellites in each analysis center, and according to the weights, the integration orbit is calculated. An observation equation is re-established so as to resolve until convergence. In the invention, a system deviation among the orbit products of the different analysis centers of multiple satellite systems can be corrected so that the acquired integration orbit product can be ensured to possess high reliability, high robustness and high precision.

A method for constructing an irregular sand particle model based on discrete element simulation includes the steps of: carrying out statistical analysis on sand particles with particle size greater than 4.75 mm, obtaining a statistical law related to sand particle shape characteristics, establishing a statistical model, and determining relevant parameter value of sand particle shape distribution;according to the random distribution law of sand particles in the actual embankment filling, obtaining the distribution characteristics of sand particles such as azimuth angle and center position coordinate; performing secondary development on PFC2D3.0 by FISH language according to the parameters of sand particle shape distribution and the characteristics of sand particle distribution, and realizing the establishment of the random sand particle model. The invention uses the built-in FISH language programming to realize that the two-dimensional model of the sand particle is more in line with the actual sand particle shape when simulating, and the large-grain sand particle discrete element modeling is determined by the sand shape rule, so as to achieve the purpose of adopting the discrete element method to analyze the meso-mechanical characteristics of the sand particle.

The invention discloses a biomedical entity relationship classification method based on a context vector graphic kernel, belongs to the technical field of biomedical text mining and data mining, and solves the problem of biomedical entity relationship classification in biomedical articles. The method comprises the following steps: S1, carrying out text processing on biomedical documents; S2, performing structured representation on the sentences; S3, constructing a context vector; S4, constructing equivalent class division based on context vectors; S5, extracting a context vector kernel and features based on the equivalent class; S6, normalizing the weight of the feature; S7, constructing a biomedical entity relationship classification model; And S8, predicting the biomedical entity relationship in the biomedical literature. The method has the effect that the biomedical entity relationship in the biomedical article with the small corpus, long complex sentences and many sentences can beefficiently classified.

The invention relates to the field of a displacement sensor, especially to a high-reliability shock-resistant linear displacement sensor and a measuring method thereof. The linear displacement sensor comprises a detection pull bar (1), a probe (4), a probe shell (2), a working coil (3) fixedly arranged in the probe shell (2), and a working circuit (6) fixedly arranged in the probe shell (2); and the end portion of the detection pull bar (1) is fixedly connected with the end portion of the probe (4). When measurement is carried out concretely, a single-chip microcomputer system carries out analog-digital conversion on current displacement and a current environmental temperature of the sensor; according to an actual measurement temperature value, a temperature excursion compensation value between an actual value and a theoretical output value is calculated; a linear correction coefficient is calculated according to a linear correction formula, thereby obtaining an ideal data result after the compensation and correction; and analog outputting and digital outputting are respectively carried out. According to the invention, the linear interval is long; a non-linear error is small; the environmental adaptation is high; the measurement precision is high; and requirements of various environments like vibration, shocking, salt mist, steady hygrothermal and underwater soaking environments and the like can be met.

The invention relates to a cantilever type rotation bending in situ fatigue testing machine for performing three-dimensional imaging by adopting X-rays. The machine mainly consists of a force loadingunit, a sample clamping unit, a movement unit, a transmission unit and a data collecting and controlling unit. A servo motor is adopted for movement, the rotational movement of the motor is transmitted to the lower clamp of a sample through a quincuncial elastic coupler, and the sample is driven by the clamp to perform rotational movement. The upper clamp of the sample is connected with a force loading unit, and radial force is applied to a shaft-shaped sample through twisting a screw, so that the sample is bent. In the process of fatigue tests, a synchronous radiation light source can penetrate a metal sample in an unobstructed mode to perform synchronous radiation imaging so as to obtain a three-dimensional image of a material with a damaged interior; the evolving law of a material interior structure is clearly and accurately reflected in the process of rotation bending fatigue, and indispensable technical equipment is supplied for researching the flaw and crack evolution behavior ofthe material in rotation bending fatigue.

The invention provides a method and system for detecting contactor adhesion, which belong to the technical field of vehicle batteries. The method comprises the steps that what is determined is that contactor adhesion exists in one of a first contactor branch and a second contactor branch, wherein the first contactor branch is connected with a power battery and a load branch in series to form a power supply loop in the working state, and the second contactor branch is connected with the first contactor branch in parallel relative to the power supply loop, and the resistance of the second contactor branch is different from that of the first contactor branch; and the load branch is driven to enter a load working state, then circuit parameter changes of the first contactor branch or the secondcontactor branch are obtained, and contactor adhesion is determined to exist in the first contactor branch or contactor adhesion is determined to exist in the second contactor branch through the circuit parameter changes. The method is used for quickly, efficiently and conveniently determining the adhesion working condition of the contactor.

The invention relates to an obstacle detection processing method, device and system based on a binocular camera. The method comprises the following steps: acquiring point cloud data detected by a radar and image data detected by a binocular camera; performing clustering processing on the point cloud data and the image data to obtain to-be-completed obstacle point cloud information and to-be-adjusted image information corresponding to an obstacle; optimizing the to-be-adjusted image information according to a corresponding relation between the to-be-complemented obstacle point cloud information and the to-be-adjusted image information to obtain optimized image information; obtaining complete obstacle point cloud information according to the optimized image information and the to-be-completed obstacle point cloud information; and determining the contour of the obstacle according to the complete obstacle point cloud information. According to the scheme provided by the invention, the contour of the large obstacle can be detected more accurately, and the effectiveness of path planning is improved.

An interpolator includes a first delay circuit, a second delay circuit, and a tunable delay circuit. The first delay circuit delays a first input signal for a fixed delay time, so as generate a first output signal. The second delay circuit delays a second input signal for the fixed delay time, so as to generate a second output signal. The tunable delay circuit delays the first input signal for a tunable delay time, so as to generate an output interpolation signal. The tunable delay time is determined according to the first output signal, the second output signal, and the output interpolation signal.

The invention discloses a high-precision signal amplification system. The system comprises an inverting amplification link, a voltage following link, an isolation link and a feedback compensation link, an input signal is boosted by N1 times through a reverse-phase amplification link, and an output signal of the reverse-phase amplification link is input into an isolation link through a voltage following link; a reference signal is provided for the feedback compensation link through the inverting amplification link; an output signal of the inverting amplification link is input into the isolationlink through the voltage following link; 1-N2 times of boosting is carried out on an output signal of the reverse-phase amplification link through the isolation link; the front-end circuit and the rear-end test equipment are electrically isolated through the isolation link; one-time output signals of the isolation link are extracted through the feedback compensation link, deviation signals between the one-time output signals of the isolation link and the standard input signals are compared, the deviation signals are input into the reverse-phase amplification link, and the reverse-phase amplification link dynamically adjusts the output signals according to the deviation signals.

The invention relates to a parallel mechanism, in particular to a redundant driving parallel machine tool executing mechanism capable of avoiding singularity. The redundant driving parallel machine tool executing mechanism comprises a fixed platform, a first driving branch chain, a second driving branch chain, a redundant driving branch chain, a movable platform and a spindle tool bit assembly. According to the redundant driving parallel machine tool executing mechanism, the Z-direction moving stroke and X-direction and Y-direction rotational motion exist; the two driving branch chains connected with an output rod are redundant driving input, and the rotating posture of a tool bit part is adjusted by the redundant driving branch chain to avoid the singularity position so that the tool bitpart can rotate within a large machining range; and the first driving branch chain and the second driving branch chain are the same in structure, and the first driving branch chain, the second drivingbranch chain and the redundant driving branch chain are symmetrically arranged by 120 degrees in a circumferential mode. According to the redundant driving parallel machine tool executing mechanism with a singularity-avoiding characteristic, the flexibility is high, the machining range is large, the stiffness is high, and the redundant driving parallel machine tool executing mechanism can be suitable for the field of high-precision machining of machine tool complex spatial hook faces.

The invention belongs to the technical field of automatic control, and discloses a reverse scanning stability compensation method adopting a staring type detector photoelectric search system under a movable base. An optical axis is stabilized in a pitching direction in a main shaft and sub-shaft composite shaft form. An azimuth main shaft keeps uniform motion in an inertial space, and in a reversescanning compensation stage, an integral value of an azimuth main shaft gyro stabilization loop error is used as an input control instruction of an azimuth sub-shaft position closed loop after passing through a certain gain. In the reset stage, the sub-shaft and the main shaft are aligned in position. According to the invention, the influence of a small finite rotation angle of a sub-axis in thecomposite axis system on the high-precision stable compensation control of the photoelectric equipment is reduced by aligning the sub-axis with the main axis in a reset stage. Through integral response of a sub-shaft to main shaft gyro data in a reverse scanning compensation stage, high-precision isolation of disturbance in a high-speed motion state of a main shaft and a high-speed reverse scanning state of the sub-shaft of the photoelectric search system is realized, the staring precision of the photoelectric search system in the reverse scanning compensation stage is improved, and stable search of a target is realized.

The invention discloses a multi-stage optimal configuration method for a product value chain in an uncertain environment. Constructing a multi-cycle and multi-product product value chain network model containing 10 nodes; the product value chain network model is composed of nodes and edges, the edges represent discrete events, the discrete events refer to trigger behaviors from one node to another node, and the given probability of occurrence of each discrete event is set as an uncertainty parameter; according to the product value chain network model, an objective function and constraint conditions based on multi-stage random mixed integer linear programming are established, and then optimal configuration of the product value chain is obtained through optimization. According to the method, the design and planning problems of the product value chain under the environment that the number of raw materials and the use position demand level are uncertain are solved, the calculation complexity is lower, and it can be guaranteed that the optimization result has good accuracy.

The invention discloses a synthetic process for manufacturing a composite material with a pressure sensitive characteristic. The synthetic process comprises uniformly blending a metal nano material, a semiconductor ceramic nano material and a macromolecular matrix material to prepare a homogeneous macromolecular nano composite material. The homogeneous macromolecular nano composite material comprises the following components in parts by weight: 30-50 parts of the metal nano material, 15-40 parts of the semiconductor ceramic nano material and 55-85 parts of macromolecular matrix material. As the composite material with the pressure sensitive characteristic is prepared by adopting the process method, the composite material can be used for manufacturing pressure sensitive elements with characteristics of high performance and high precision.

A high-accuracy and computational efficient phase-discriminating device is provided and includes a phase-discriminating unit. The phase-discriminating unit converts an input and a reference signals into an input and a reference sequences respectively by a one-bit A / D conversion operation, determines a first value, an in-phase component and a quadrature component of the input signal in response to the input and the reference sequences, and produces an estimated phase of the input signal according to a relation among the first value, the in-phase component and a polarity of the quadrature component, wherein the first value is a certain integer being one of a first integer and a second integer, the first integer is a sampling count of the one-bit A / D conversion operation for producing the input sequence, and the second integer is a summation of an absolute value of the in-phase component and that of the quadrature component.

The invention discloses a deformation speckle generation method based on a reverse mapping method. The method is characterized in that speckle particles which are generated randomly are used to superpose and generate a reference image and each pixel point position gray level in a speckle picture is known; a shape function describes corresponding pixel point positions before and after deformation, and inverse transformation is performed on the shape function, which satisfies the following equation: (x, y)=F(x', y'), the position (x', y') after the deformation is known so that the position (x, y) before the deformation can be obtained. A gray level value of the position point before the deformation of a whole pixel position is generated through speckle particle gray level superposition. A gray level of the position before the deformation is extracted and fills into a corresponding position after the deformation so that a speckle picture after the deformation can be generated. A speckle picture generation process is simple and accords with a deformation requirement of an actual experiment.

The invention provides a PSD-based fiber bragg grating vibration sensor demodulation system and method. The system comprises a fiber bragg grating vibration sensor, a broadband light source, a circulator, a collimator, a one-dimensional PSD, a focusing lens, a diffraction grating, and a processing circuit. Broadband light emitted by a broadband light source passes through the circulator and then enters the fiber bragg grating vibration sensor. Reflected light output by the grating vibration sensor passes through the circulator and then enters the collimator, light beams are converted into collimated light beams and then are irradiated to the diffraction grating, the propagation angles of light with different wavelengths are changed after the light beams pass through the diffraction grating, and the light beams are irradiated to the photosensitive surface of the one-dimensional PSD after being focused and adjusted by the focusing lens. The positions of the light with different wavelengths irradiated on the photosensitive surface of the one-dimensional PSD are different so that the one-dimensional PSD outputs different current signals, and the processing circuit converts the currentsignals output by the one-dimensional PSD into voltage signals and performs amplification and filtering. The demodulation system and method provided by the invention have the characteristics of high precision and high-speed response, and have wide application prospects.

The invention relates to a large-dynamic range high-precision sensor port simulation signal generation device and relates to the technical field of generation of complex sensor port simulation signals. The generation device comprises a USB communication port and a programmable logic device. The output of the programmable logic device is connected to a high-voltage output circuit through a high-precision D / A transformation circuit and a signal conditioning filtering circuit. The output of the high-voltage output circuit is connected to a voltage transformation circuit and an output port. The output of the voltage transformation circuit is connected to the programmable logic device through the high-precision D / A transformation circuit. According to the invention, signals generated by the generation device are characterized by large signal amplitude adjusting range, high signal frequency and amplitude output precision and slight output distortion of high-voltage signals. Due to the characteristic of slight output distortion of high-voltage signals, problems of low output voltage and relatively serious signal distortion of a current signal generation device are overcome. According to the invention, actual requirements of all kinds of complex sensor port simulation signal generation devices imposed by a sensor test system can be met.

The invention discloses a method for constructing a particle cluster discrete element model of a convex polyhedral aggregate in any shape. The method comprises the following steps of performing topological information retrieval on a boundary model of the convex polyhedral aggregate in any shape, and establishing a topological information library of the model, wherein the topological information library includes a vertex information library, an edge information library and a surface information library; and performing retrieval on the surface information library, the edge information library and the vertex information library separately, traversing all triangular surfaces, all edges and all vertexes of the model, and putting spheres on the surfaces, the edges and the vertexes in sequence until the spheres cannot be successfully put on the surfaces, the edges and the vertexes. The method for constructing the particle cluster discrete element model of the convex polyhedral aggregate in any shape is simple in thought, easy to realize by programming and relatively small in computing error, and a deformation law better conforms to a deformation state of an actual test piece; and through simulation experiment analysis, the effectiveness and high-precision characteristic of the method for constructing the particle cluster discrete element model are verified.