571results about How to "Overcome precision" patented technology

The invention discloses a method for controlling a PMSM (permanent magnet synchronous motor) servo system based on friction and disturbance compensation. In the method, a feedforward compensation method based on a friction model is combined with an auto disturbance rejection technology and the feedforward compensation method is complementary with the auto disturbance rejection technology mutually. In the method, a Stribeck friction model is utilized to carry out modeling on system frictions, a GA (genetic algorithm) is adopted to carry out offline identification on parameters, and an estimated value generated by an identification model carries out feedforward compensation; a state observer in the auto disturbance rejection technology observes and compensates overcompensation or undercompensation of the frictions as well as nondeterminacy and external disturbance caused by modeling errors in the system; and finally a differential tracker and a nonlinear control law are used to arrange a transient process for fixed position signals, thus solving the conflict between rapidity and overstrike and ensuring stability of the system and finite time convergence. By using the combined control, the compensation capacity of the system for the frictional nonlinearity can be improved effectively, the low-speed performance of the system is improved, and the tracking accuracy and the anti-disturbance capacity of the system are enhanced.

A 2-D three-frequency diphase measuring method based on colored- structure light includes preparing three gratings by complexing different three primary color sine light with three the same frequencies, projecting said gratings on object to be measured, utilizing two the same CCD vide cameras to make shooting for obtaining 24 pieces of pictures, dephasing said pictures to obtain phase values at X and Y direction on each pixel pf each picture and matching two phase values for calculating out 3-D coordinate of each point.

The invention provides a measuring device and method for the target line-of-sight angel offset and distance. The device is composed of a four-quadrant avalanche photodetector, a receiving and sending optical unit, a noise compensation circuit, a four-circuit front amplification circuit, a video amplification circuit, an automatic gain amplification circuit, a peak keeping circuit, an AD conversion circuit, a laser, a dominant wave sampling circuit, a summing circuit, a time identifying circuit, a time test circuit and a digital processing circuit, wherein the receiving and sending optical unit enables narrow pulse laser rays emitted by the laser to be converged on the photoelectric detector to form echo light spots after target reflection, photovoltaic conversion of the four-quadrant avalanche photodetector, front amplification, video amplification and automatic gain amplification are conducted, narrow-pulse peak keeping is conducted, transmission of the AD conversion circuit is conducted, and the digital processing circuit extracts the digital line-of-sight angel offset; summing is conducted on the four-circuit front amplification circuit, the dominant wave sampling circuit is combined, the time identifying circuit determines laser emitting and echo coming and returning time, the time is transmitted to the time identifying circuit to be measured, and the digital processing circuit decodes the corresponding distance.

The invention discloses a method for tracking a high maneuvering target, and mainly solves the problems of model mismatching and low tracking precision brought by high maneuvering of a target in the prior art. The method comprises the following steps of: (1) initializing motion states and model parameters; (2) establishing an improved jerk model; (3) forecasting a state of a target; (4) solving a forecast error of an observed value according to receiving data and a state forecast value of radar; (5) determining a fading factor; (6) determining filter gain; and (7) updating the state of the target, and thus realizing target tracking. By the method, the tracking precision of a general maneuvering target is kept, and the tracking performance during sudden change of the state of the target is improved; and moreover, the method can be used for tracking a high maneuvering target.

The invention relates to a magnetic field measuring device based on a visual guiding robot, which is characterized by comprising an adjustable workbench, a measuring system, a robot system and a control system which are matched with each other and have a modular design, wherein the adjustable workbench mainly consists of a base, there sets of adjusting mechanisms, a component placing table, foundation wheels and an adjustable support leg, and the gesture of the adjustable workbench can be adjusted by a hand wheel; the measuring system comprises a gesture measuring device of an object to be detected, a visual guiding positioning device and a magnetic field data collecting device; the gesture measuring device of the object to be detected mainly comprises a number dialgauge and a connecting rod; the visual guiding positioning device mainly comprises an integral camera and an image collecting card which are connected by cables; the magnetic data collecting device mainly comprises a multifunctional data collecting card, a teslameter and a Hall probe which are connected by cables; the robot system comprises a three-dimensional right angle coordinate robot; and the control system comprises an industrial personal computer and software.

The invention provides a pilot frequency information and satellite ephemeris joint Doppler frequency shift estimation and compensation method which includes the steps: a receiving pilot frequency signals from a low-orbit satellite by a ground terminal k; b acquiring satellite ephemeris data of the latest time tk, the frequency and the phase of carrier waves and the frequency and the phase of pseudo codes based on the pilot frequency signals by the ground terminal k; c calculating Doppler frequency shift between the ground terminal k and the low-orbit satellite based on satellite ephemeris information of the pilot frequency signals corresponding to the latest time tk, the frequency and the phase of the carrier waves and the frequency and the phase of the pseudo codes; d adjusting the frequency of the pseudo codes and the frequency of the carrier waves based on the Doppler frequency shift, and performing Doppler compensation when uplink signals are transmitted. The Doppler frequency shift is estimated and compensated by a high-precision pilot frequency method with small calculated amount, and the Doppler frequency shift is preferentially estimated and compensated by a high-precision orbit ephemeris method when the terminal suddenly cannot receive the pilot frequency signals due to reasons such as blocking of tall buildings.

The invention discloses a method for fast constructing a high-accuracy personalized face model on the basis of facial images, which belongs to the cross field of computer vision and computer graphics, and aims at achieving the purposes of fast reconstructing a personalized 3D geometrical facial model and a high-accuracy 2D facial texture mapping on the basis of real facial images. The method comprises the following steps: firstly, shooting five facial images from multiple angles; secondly, marking positions and corresponding relationships of forty-one characteristic points on the facial images and a neutral facial model; thirdly, aligning the projection of the neutral facial model on a virtual camera focal plane with the facial images; fourthly, carrying out hierarchical geometrical deformation on the neutral facial model to obtain the personalized geometrical facial model; and finally, synthesizing the high-accuracy facial texture mapping according to the five facial images. The face modeling method has the advantages of convenience for data acquisition, high modeling speed and modeling accuracy, and the like, and achieves higher practical values in the fields of video communication, electronic games, man-machine interaction, and the like.

The invention belongs to the technical field of wireless communication, and particularly relates to a dynamic heterogeneous network flow prediction method based on a deep space-time neural network. Aiming at the problems of small coverage area, low prediction precision, short prediction time and the like of the existing mobile data traffic prediction method, the dynamic heterogeneous network traffic prediction method based on the deep space-time neural network is studied. Considering the characteristics of user mobility, flow data space-time correlation and the like, deeply researching a wide-coverage long-term mobile data flow prediction mathematical model description method in the dynamic heterogeneous network; On the basis, a space-time related convolutional long-short time memory network model is studied to predict the long-term trend of the mobile traffic in the dynamic heterogeneous network; A space-time related three-dimensional convolutional neural network model is studied to capture micro-fluctuation of a mobile flow sequence in the dynamic heterogeneous network; And fusing the long-term trend prediction model and the short-term change model of the mobile traffic, therebyrealizing wide-coverage and high-precision long-term mobile traffic prediction in the dynamic heterogeneous network.

The invention discloses a light path structure and a method for detecting large-dynamic range liquid turbidity. In the light path structure, an infrared emission light path, a first scattered light path, a second scattered light path, a long vessel transmission light path and a short vessel transmission light path are arranged in a groove-shaped concave cavity respectively; after being subjected to beam expanding by a convex lens in the front, light emitted from a detecting light source is transmitted in liquid in the concave cavity and is received by light detectors respectively, and an electrical signal outputted by each light detector is inputted to an amplification demodulator circuit to be converted into a direct-current voltage signal for calculating liquid turbidity; and the detecting light source realizes pulse modulation by the demodulator circuit. By the structure and the method, the requirement of the accurate detection of the turbidity of various water bodies with different concentrations is met fully, so the structure can be used for detecting water turbidity quickly on line by environmental monitoring departments and also can be used for performing long-term continuous detection on the water turbidity of fixed monitoring points by being arranged on a buoy or an automatic monitoring station, and has the excellent market prospect.

The invention relates to a method and a system for detection of a verticality of CCD installation of a laser cutting machine with an automatically edge searching performance. The method comprises the following steps that: a laser head of a laser cutting machine is directly utilized; a circle and a center of circle mark patterns that are formed by laser light spots are typed on calibration papers,which are paved fixedly at five different areas at a working plane of a cutting bed; marked images at the five different areas are shot through a CCD; an image processing technology is utilized and circumference point coordinates and center point coordinates of the marked images are respectively extracted; and an extreme values of distance of from the center point to all the circumference points are calculated and a verticality between a CCD shaft and the cutting bed is calculated by a calculation model. In addition, the invention also relates to a detection system for a verticality of CCD installation of a laser cutting machine with an automatical edge searching performance. And the detection system mainly comprises three software modules: a control module, an image processing module, and a data processing module. According to the invention, problems on slow detection speed, low efficiency and poor precision and the like during detection on a verticality of CCD installation of a laser cutting machine with an automatically edge searching performance are solved and an automatic capability of the system is also improved.

The invention provides an inverse-kinematics universal solving method of a robot with multi-degree of freedom. The common space theory is used for setting a universal kinematical equation of an nR robot, the weighted space vector projection method is used for analyzing the relationship between space vector projection values and revolute joint angles of a space robot, projection weighted values of joint vectors on robot tail end vectors are used as the basis for regulating the tail end pose of the robot, and projection weighted values of joint vectors are determined to achieve half-analytic solution of the inverse kinematics. The method achieves kinematical salvation of the nR robot and also finishes the space obstacle avoidance task. The method can be widely applied to series type space nR robots, has the advantages of being high in calculation speed and high in solving precision, provides control input parameters for series type robots, and meets the requirement for robot kinematics solving operation on industrial sites.

The invention relates to a composite layered anti-interference controller, in particular to a design of the composite layered anti-interference controller in a type of multisource jamming control system. The anti-interference controller is designed aiming at the multisource jamming control system containing external model description disturbance, random disturbance and energy-bounded disturbance. Firstly, a reduced-order disturbance observer is structured to estimate and counteract the external model description disturbance of the multisource jamming control system; secondly, the controller having H infinity and guaranteed cost performance index is structured, wherein, the H infinity performance index can be used for inhibiting the energy-bounded disturbance in the system, and the guaranteed cost performance index can be used for inhibiting the random disturbance in the system as well as optimizing the upper bound of variance; the composite layered anti-interference controller can be formed by the reduced-order disturbance observer and the feedback controller with a state of robust H infinity and guaranteed cost; finally, based on convex optimization algorithm, gain array of the composite layered anti-interference controller can be solved. The invention has the advantages of strong anti-interference property, convenient design and the like, and can be applied to a navigation and control system of aerospaceplane, etc.

The invention discloses a method for controlling an accurate ratio of various gas atmospheres, which is used for a high-temperature gas atmosphere frictional wear testing machine, and a device thereof. The device consists of a plurality of gas input branches, a gas atmosphere mixing box, a test environmental gas chamber device, a temperature control device and a cooling system; the pressures of aplurality of gas sources are reduced to a given pressure by a pressure reducing valve; the flow ratio of all gas atmospheres is controlled by the mass flow controller; the mixed gas atmosphere is sentto the ambient temperature gas chamber needed in the test by a gas channel; and in a semi-closed environmental gas chamber, the sliding frictional wear test of a ball / disk or pin / disc in the high-temperature gas atmosphere environment is performed by relatively turning dual faces. The method realizes the accurate control of the ratio of various gas atmospheres and the ambient temperature and meets the gas supply requirements for the continuous frictional wear tests; and the device has a simple structure and can be safely and reliably operated, so that the aims of accurately controlling the ratio of various gas atmospheres and realizing low cost are achieved.

The invention relates to a three-dimensional live-action point cloud model generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring three-dimensional laser radar point cloud data and a synchronous live-action image of a target; performing point cloud classification processing on the three-dimensional laser radar point cloud data toobtain surface point cloud data; performing aerial triangulation adjustment processing on the live-action image to obtain exterior orientation elements of the live-action image; performing live-actioncoloring processing on the three-dimensional laser radar point cloud data to obtain live-action texture three-dimensional laser radar point cloud data; generating digital elevation model data throughthe classified surface point cloud data; generating a digital ortho-image map according to the digital elevation model data and the exterior orientation elements of the live-action image; matching and constructing a live-action texture digital elevation model of the target; and matching the live-action texture digital elevation model with the live-action texture three-dimensional laser radar point cloud data to generate a three-dimensional real scenic spot cloud model of the target. The computing production pressure of a computer can be reduced.

The invention relates to a floating number plates discriminating method, which is based on the three-road parallel manmade nerve-net. The identify steps are that adopting the video burst mode to catch the video automatically for the collection of video pictures of the moving vehicle, character cutting the part of pictures of the number plates and then being the input signal of the nerve-net; said nerve-net adopts three standard self-adapt vibrate net each of which has its own work, the three nets are the Chinese characters identify net, the English characters identify net and the data identify net, all of which identify the inputted vector signals at one time, and outputs the most similar sort unity respectively, through controlling the property of the Territory value and the identify accurately according to the number plates and filter, at last add a color property of number plates as the output of the discriminating results. Adopting the method of the invention can identify the number plates of vehicle fast and accurately under the largest driving speed of the vehicles.

The invention discloses an air conditioner temperature control method and device and an air conditioner. The method comprises the steps that the air conditioner running mode, the indoor unit air gear, the air deflector angle, the indoor unit environment detecting temperature and the set temperature are obtained; according to the preset corresponding relation of the preset air conditioner mode, the preset air gear, the preset angle and the preset compensation temperature, and the preset compensation temperature corresponding to the running mode, the indoor unit air gear and the air deflector angle is determined; compensation is conducted on the indoor unit environment detecting temperature according to the determined preset compensation temperature, and accordingly the actual indoor unit environment temperature of the air conditioner is obtained; and according to the difference value between the set temperature and the actual indoor unit environment temperature, the frequency of a compressor of the air conditioner is adjusted in an adaptive manner till the difference value meets the preset range. According to the scheme, the defects that in the prior art, accuracy is poor, reliability is low, and the user experience is poor can be overcome, and the beneficial effects that the accuracy is good, the reliability is high, and the user experience is good are achieved.

The invention discloses a method for rapidly establishing three-dimensional fine thermos-hydraulic calculation models for primary side systems of large-scale natural circulation vapor generators in nuclear power plants under certain heat transfer tube blocking accident conditions. The method comprises the following steps of: 1, carrying out complete primary side hydraulic analysis on a vapor generator so as to analyze a flow distribution law at a tube plate; 2, selecting a tube blocking scheme according to a result of the last step; 3, determining a tube blocking share and a tube blocking position; 4, carrying out geometric simplification and overall geometric modeling on a plurality of heat transfer tubes in the real vapor generator; 5, dividing preliminary calculation nodes; 6, establishing a tube blocking equation to tracing marked control areas, and carrying out calculation domain grid marking on the control areas by adoption of a network marking method so as to realize a tube blocking function; and 7, carrying out blocking condition calculation by adoption of a preliminarily established model and analyzing the precision of the result, and if a requirement is satisfied, considering that the modeling is completed, and otherwise, returning to the step 5 to encrypt the calculation nodes until the model satisfies the calculation precision requirement.

The invention discloses a multiple electric appliance type-supportable high-precision NILM (Non-intrusive Load Monitoring) realization method, so as to recognize multiple types of load electric appliances in the NILM system and achieve the purposes of expanding the compatibility breadth of the system and improving the precision. The method comprises steps: data are acquired; the system prepares training data according to a selected load electric appliance; the system uses a specific architecture based on a deep neural network to complete training and modeling on the type of the load electric appliance; and the system completes the load electric appliance recognition process through the well-trained architecture. A complete training data set is selected, and good performance is achieved inthe modeling of electric appliances; in consideration of the compatibility of recognition of most electric appliances, the recognition performance of a two-state electric appliance is enhanced; and the method can be promoted to be used in a system in no need of high-end hardware to acquire data.

Disclosed are a rock vibration testing device and a method thereof, belonging to the technical field of construction engineering; the device comprises a sensor, a hose, a lead wire, a claw lathe dog, a connecting lathe dog and a protective metal casing; the sensor and the lead wire are connected through a lead wire interface on the sensor; the hose is sleeved outside the sensor; the protective metal casing is sleeved outside the lead wire; the hose is connected with the protective metal casing through the connecting lathe dog; the hose is fixed in a rock bore through the coated claw lathe dog and grout; and the tail end of the lead wire is connected with an automatic data collection device. The invention does not need to worry about the problems that the precision of the sensor can not be ensured as well as the sensor and the lead wire are damaged caused by flying rocks and mobile excavating machinery during the blasting excavation process.

The invention relates to the technical field of sensors and signal processing, in particular to wearable equipment for sign language recognition. The wearable equipment has the advantages that hand gestures can be collected by resistance strain gauges disposed on a left data glove and a right data glove respectively while hand positions can be collected by the coordination of the infrared light emitting strips disposed on the left data glove and the right data glove and an infrared receiver disposed on head-wearing equipment, head movements can be measured by a micro inertia sensor disposed on the head-wearing equipment, and the problem that sign language recognition precision and vocabulary are limited due to incomplete data caused by the fact the prior art only focuses on the collection of the hand gestures and the hand movements and neglects the collection of the hand positions and the head movements is solved.

The invention discloses a polishing composition capable of improving silicon wafer polishing accuracy and a preparation method thereof, and belongs to the technical field of chemical and mechanical polishing. The polishing composition consists of the following components in percentage by weight: 0.05-50 percent of functionalized silicon dioxide sol, 0.001-1 percent of oxidant, 0.001-5 percent of chelating agent, 0.001-10 percent of alkaline compound, 0.001-1 percent of surfactant and the balance of de-ionized water, wherein the functionalized silicon dioxide sol is aminated silicon dioxide sol. After a silicon wafer is polished by the polishing component, the surface accuracy of the wafer is higher, the surface corrosion is less, the polishing speed is high, and the flatness is high.

The invention discloses a two-channel remote sensing light spectrum imaging system based on compressed sensing, and an imaging method, and mainly solves the problems, in the prior art, that the utilization ratio of light spectrum information is low, the difficulty in manufacturing technique of a detector is high, high spatial resolution and high spectral resolution of spectrogram image can not be obtained at the same time. The imaging system comprises a beamsplitter module (1), a first observing passage module (2), a second observing passage module (3), and an image reconstructing and processing module (4). Original spectrogram images are divided into two paths of light beams which are the same in information and different in directions, the first observing passage module (2) and the second observing passage module (3) achieve complementary coding observation to the light spectrum image, observed results are output to the image reconstructing and processing module (4), a reconstruction model of the spectrogram image is built, and the original spectrogram images are reconstructed by using a nonlinear optimized method. The invention has the advantages that the utilization ratio of the light spectrum information is high, the manufacturing technique is simple, and the calculation complex rate is low, thereby being used for acquiring and reconstructing remote sensing spectrogram images.

A starlight simulator with high accuracy consists of light source system formed by concave lens and surface light source, star atlas analog computer being set with star atlas analog algorithm and basic star table for calculating out mapping positions of each navigation star on liquid crystal display system, frequency divider for dividing said mapping positions to different units, display unit for carrying out directly viewing display, liquid crystal display system for displaying distribution of fixed star, parallel light tube being used to set liquid crystal display system on its focal plane and being used to simulate parallel star light of infinite truly under specific visual field and shaft.

The invention relates to an anisotropic reverse time migration method for a quasi-P wave equation in a transverse isotropy with a vertical axis of symmetry (VTI) medium. The method comprises the following steps of: (1) performing discrete differentiation on a first-order quasi-P wave equation in a two-dimensional VTI medium and a perfect matched layer (PML) absorption layer boundary equation by adopting staggered meshes to obtain high-order difference formats of forward continuation and reverse continuation of the two equations; (2) performing numeric calculation to obtain a forwards-continued wave field of a shot point and a reverse time continued wave field of a receiver point, and performing normalized correlation operation on the two wave fields to obtain a migration imaging result of each imaging point in a model; and (3) extracting common imaging point gathers from migration results to obtain a final migration profile. By the method, a problem about the migration imaging of intensive transverse speed variation and a high dip angle stratum can be solved; and the influence of anisotropy of the medium is also taken into account, and the good imaging effect of longitudinal wave data acquired from an anisotropic region can be achieved by an anisotropy-theory-based migration method.

The invention discloses an abnormal track analysis method based on an adjoint model. The method comprises the following steps that a video structuring system carries out face recognition to obtain face video data and preprocesses the face video data, then accompanying analysis mining is carried out on accompanying personnel through a frequent model mining algorithm to obtain accompanying relationship data and accompanying risk coefficients, and the accompanying relationship data and the accompanying risk coefficients are recorded as risk accompanying personnel when the accompanying risk coefficients are larger than accompanying personnel risk threshold values; accompanying track abnormity detection is performed on the accompanying relation data of the risk accompanying personnel through anunsupervised learning algorithm, a supervised learning model is trained through an automatic feature engineering algorithm based on the abnormal track of the risk accompanying personnel, and carryingout risk accompanying personnel abnormal track analysis. The method is based on the face video structured data, combines with the adjoint analysis model, analyzes the abnormal trajectory through theabnormal trajectory detection algorithm on the basis of considering the personnel adjoint relationship, and overcomes the limitation of poor accuracy and applicability of constructing the model only from the perspective of time and position.

The invention belongs to the field of large-scale heavy load part processing and relates to equipment and a method for milling the inner surface of a bent pipe. The equipment comprises an equipment machine body, a vertical column, a supporting rod, a clamping device, a revolution milling device, a workbench and a guide rail. The machining of the inner surface of the arc line section of the bent pipe is realized in a mode of guide rail leading matched with gear transmission by matching the circular motion along the guide rail and the revolution motion around a slide block, and through the screw feed cutting motion along the bus of the bent pipe under the drive of a servo motor. The equipment can perform transmission stably and reliably; the mechanism has a simple design; the control mode is simple and direct; the cutting state is stable; the cutting impact load is small; and the surface quality, the efficiency and accuracy are high. The equipment and the method are suitable for processing the inner surfaces of the arc line sections of various large-and-medium-sized bent pipe parts.

The invention discloses a method of resolving traffic conflicts of two vehicles at a no-signal intersection, mainly solving the problem of collision of two vehicles at an intersection. The method comprises: first, collecting the information of two vehicles, and predetermining whether two vehicles conflict at an intersection according to the time of the two vehicles arriving at the intersection; second, building an analytical hierarchy structure to determine the priority of the conflict vehicles; employing a PID controller to control the time of two vehicles arriving at a conflict area so as to resolve conflicts, and optimizing parameters of the PID controller; and finally building a gaming model to optimize a conflict resolving strategy and to allow the two vehicles to pass through the intersection within shortest time. The method employs the PID controller to control the time of two vehicles arriving at a conflict area so as to resolve conflicts, and optimizes parameters of the PID controller, thereby increasing the efficiency of solving conflicts between two vehicles, and reducing traffic conflicts at an intersection.

The invention provides a method for measuring the thickness of a coating in a confocal mode. The method includes the steps of drilling a small conical hole in the surface of the coating mechanically, carrying out imaging processing on the V-shaped-section hole in the laser scanning confocal microscope three-dimensional imaging technique, measuring the height difference between the junction of the coating in the V-shaped hole and a substrate and the outer surface of the coating with the confocal height difference measurement function, and then determining the thickness of color-coated coating finishing coat, the thickness of a hot-dipped coating and the thickness of color-coated coating undercoat respectively. According to the method, the factors of conicity and the like do not need to be considered, the thickness of the coating can be truly reflected, measurement accuracy can be greatly improved, the thickness of a coating in a micro area can be measured, and coating uniformity can be examined. By being changed slightly according to the characteristics of coatings and substrates, the method can be applied to thickness measurement of various types of coatings such as galvanized coatings, PVD plating and CVD plating.

The invention discloses a high-speed variable point FFT (Fast Fourier Transform) processor based on FPGA (Field-Programmable Gate Array) and a processing method of the high-speed variable point FFT processor. The FFT processor disclosed by the invention comprises a multi-stage processing module and a first-stage output module; the multi-stage processing module and the output module are cascaded together in pipeline manner. The processing method disclosed by the invention comprises the following steps: 1, initially configuring; 2, receiving data; 3, saving data; 4, carrying out butterfly processing; 5, judging whether the FFT operation is finished or not; and 6, outputting result. The invention mainly solves the problems that the conventional FFT processor is complicated to control, the module is poor in transportability, and the hardware is hard to realize. Through the adoption of radix-2 algorithm with an improved structure, the structures of all stages of the FFT processor of the invention are firm, the control logic is simple, the module is high in transportability, and the high-speed variable point FFT processor is very suitable to realize in one-chip FPGA, and can obtain characteristics of high speed and high precision at the same time.