183results about How to "Meet precision requirements" patented technology

The embodiment of the invention discloses a neural network processor and a convolutional neural network processor. The neural network processor can comprise a first weight preprocessor and a first operation array, wherein the first weight preprocessor is used for receiving a vector V<x> including M elements; the normalized value domain space of the element V(x-i) of the vector V<x> is a real number which is greater than or equal to 0 and is smaller than or equal to 1; an M*P weight vector matrix Q<x> is used for performing weighting operation on the M elements of the vector V<x> to obtain M weighting operation result vectors; the first operation array is used for accumulating the elements with the same positions in the M weighting operation result vectors to obtain P accumulated values; a vector V<y> including P elements is obtained according to the P accumulated values; and the vector V<y> is output. The technical scheme provided by the embodiment has the advantage that the expansion of the application range of neural network operation is facilitated.

The invention belongs to the technical field of relative position calibration between a camera and a robot, and discloses an automatic hand-eye calibration method and device for optimal calibration point selection and error automatic measurement. The method comprises the following steps that a calibration plate guiding six-axis mechanical arm is used for aligning a calibration plate with the camera, and an initial sampling position of the mechanical arm is obtained; the mechanical arm clamps the camera or the calibration plate to complete a series of rotary movements, photographing and sampling are carried out on the calibration plate by the camera in the movement process, a calibration plate recognition algorithm is used for estimating the pose of the calibration plate, and meanwhile, unreasonable points are filtered out; and a calibration equation is solved, error measurement is conducted on a solution result by using sampled points in the calibration process so as to realize a fully-automatic quantifiable calibration solution scheme and device. According to the method, an obtained calibration error can be quantified in various dimensions such as rotation and translation, the whole calibration process can be guaranteed to be automatic, accurate and efficient, and the problems of eye in hand calibration and eye to hand calibration in practical application are solved.

The invention relates to local drawing and molding technology for a rear cover plate of a front section of an automotive girder. In the technology, a mode of blanking first and then locally drawing, molding and flanging is adopted to modify the conventional drawing technology and a molding structure aiming at parts per se is formed. A position needing drawing is locally drawn; a position which does not need drawing and only needs molding or flanging is subjected to the molding and flanging technology. The technology can reduce the processing cost and material cost to the greatest degree.

The invention discloses a building intelligent three-dimensional mapping method based on multi-source remote sensing data, and the method comprises the steps: obtaining a building roof vector contourof a target measurement region and a structured building group three-dimensional wireframe model through employing aerial remote sensing image data and laser point cloud data of the target measurementregion. According to the invention, aerial remote sensing image data is utilized to generate image three-dimensional point cloud, and high-precision registration fusion of the image point cloud and laser point cloud is completed; high-precision DSM, DEM, traditional DOM and OESM models are generated by using the fused three-dimensional point cloud; building boundaries are extracted through three-dimensional point cloud, contour lines are extracted on a DOM, the boundaries and the DOM are fused to extract and screen building two-dimensional vector contours, and high-precision extraction of building roof contours is achieved; and a building structured wireframe three-dimensional model is quickly generated based on the building roof two-dimensional vector contour and the high-precision OESMmodel. According to the method, manual intervention is not needed, and full-automatic building three-dimensional mapping is achieved.

The invention discloses an automatic extraction method of fine-size information of an ancient wooden building component. The method comprises the steps of (1) point cloud slicing processing: obtaininga point cloud model of the ancient wooden building component and performing point cloud slicing processing on the point cloud model according to different characteristic requirements of the ancient wooden building component to obtain a slice point cloud model, (2) extracting contour lines: simplifying the obtained slice point cloud model to obtain clear contour features and extracting contour lines that characterize the contour features to obtain a contour line point cloud model, (3) identifying geometric feature points: identifying the geometric feature points for constructing a numerical model of the ancient wooden building component from the contour point cloud model obtained by extracting the contour lines that characterize the contour features, and (4) extracting fine size information: extracting fine size information expressing an ancient wooden building component numerical model according to a geometric relationship between identified geometric feature points. According to themethod, the automatic extraction of the fine size information of the ancient wooden building component based on the point cloud data can be achieved, and the method is fast and accurate.

The invention discloses a plate-shape parameter online setting method for a dual-UCM temper mill on the basis of mechanism models. The method of the invention is characterized in that: a. the equipment parameters of the dual six-roll UCM type temper mill are collected; b. the key rolling process parameters of the strip to be quickly online set are collected; c. the plate-shape parameters are roughly calculated; d. the plate-shaped parameters are finely calculated; f. the shrinkage movement of the middle rolls of the frame 1model and frame 2model of the temper mill, and the roll bending force of a work roll and a middle roll are calculated correspondingly to the roll shifting coefficient and the roll bending coefficient; furthermore, the online setting of the parameters are realized on the temper mill. When the comprehensive control method provided by the invention is adopted, the plate-shape parameter setting technique on the basis of the mechanism models can be applied online, and can meet the precision requirement on engineering, as well as can effectively ensure the plate-shape quality of the finished product, the service life of the roller, and the service life of the bent roll cylinder, thus bringing obviously economical benefits for the enterprises. The method of the invention is simple and clear and suitable for online application.

The invention discloses an indoor laser positioning system based on a frequency labeling method. A frequency label algorithm module is used for completing demodulation conducted on modulated lasers emitted by a positioning light source and determining the position of a positioning terminal according to the correspondence between the laser frequency and the position coordinates of the area to be positioned. The positioning light source modulates and emits a laser bundle array so that laser light spots with different frequency labels can be formed in positions to be positioned to be detected and processed through a positioning terminal. The positioning terminal receives the lasers which are emitted by the positioning light source and have different frequencies, captures frequency information of the lasers after filtering, photovoltaic conversion and A / D conversion are conducted, and achieves positioning through the frequency label algorithm. Due to the fact that the lasers serve as carrier waves of signals, reliable and stable positioning service can be easily provided; due to the adoption of the frequency labeling method, the position is determined according to the frequency of laser modulation light received by the positioning terminal; the positioning accuracy of the light spots generated by the positioning light source reaches the centimeter level; hardware implementation and conversion are easily achieved so that the product can be popularized and used.

The invention relates to a method for denoising three-dimensional laser scanning point cloud data of a shield tunnel. According to the method, the technical problems of complicated steps, low denoising precision and the like of an existing method for denoising scanning point data are mainly solved. The method provided by the invention is characterized by comprising the following steps: acquiring three-dimensional laser scanning data of the shield tunnel; S1, reading scanning point cloud data, marking an each cycle of scanning point data set as E0; S2, establishing a Cartesian rectangular coordinate system and partitioning scanning point quadrants; S3, extracting the scanning point cloud data; S4, carrying out preliminary elimination on noisy points according to structural features of the shield tunnel and scanning features of a three-dimensional laser scanner based on X values or Y values of different quadrants and the distance change trend; S5, carrying out circle fitting secondary elimination on the scanning point data subjected to preliminary elimination of the noise points; S6, carrying out final denoising of the three-dimensional laser scanning point cloud data by an ellipse fitting method performed on the basis of a geometrical distance least square method; S7, repeating the steps of S2, S3, S4, S5 and S6, and treating all point cloud data of all scanning cycles; S8, outputting effective point cloud data of the scanning points.

The invention provides a highway mileage stake number determining method based on an electronic map and a GPS coordinate. The method comprises the steps of S1, acquiring a certain highway segment through field acquisition equipment, performing matching with the electronic map according to a proportional relationship, acquiring a certain highway segment of another landform in a same manner, performing matching with the electronic map according to the proportional relationship, performing collection matching on highway segments in different types, and forming a highway segment database; S2, inputting to-be-matched vehicle information data into the database, and setting a GPS coordinate in a manner of calculating a target point, thereby obtaining a mileage stake number; S3, searching a corresponding highway segment through setting the GPS coordinate, and acquiring a matched highway segment name according to the GPS coordinate; and S4, after acquiring the highway segment name, determining a vehicle driving direction in a method of determining the direction according to the GPS coordinate, thereby finally determining the highway segment in which the vehicle exists and the driving direction.

The invention provides a sliding block executing mechanism used for attitude control over a solar sail spacecraft. The sliding block executing mechanism comprises a central box, a pre-tightening regulating unit, a control unit, a driving wheel unit, a driven wheel unit and an adjustable auxiliary driven wheel unit; a telescopic arm penetrates through a hole in the center of a front panel and a hole in the center of a rear panel of the central box; the pre-tightening regulating unit comprises a pre-tightening screw and a pre-tightening nut, and the pre-tightening screw penetrates through an upper panel of the central box; the control motor is driven by obtaining electric energy from a solar battery; the driving wheel unit comprises two protruding idler wheels which are connected with a motor shaft of the control motor through connection shafts, and the outer walls of the two protruding idler wheels make tight contact with the periphery of a stretching arm; two protruding idler wheels of the driven wheel unit penetrates through a rotary shaft and are arranged between two polytetrafluoroethylene sliding rings, the outer walls of the two protruding idler wheels make tight contact with the periphery of the stretching arm, and the rotary shaft is fixed to a support of a lower panel of the central box; the adjustable auxiliary driven wheel unit comprises four protruding idler wheels and four triangular supports, and the triangular supports are regulated so that the outer walls of the protruding idler wheels can make tight contact with the periphery of the stretching arm.

The invention discloses an angle-controllable power differential omnidirectional wheel, and a control method and an omnidirectional moving platform thereof, and relates to the technical field of machinery manufacturing and assembly and intelligent control. The angle-controllable power differential omnidirectional wheel comprises a wheel frame main body, a rotary support bearing, two wheels, two elastic shaft couplers, two speed reducing motors, a gyroscope and a controller. According to the control method of the omnidirectional wheel, the rotating speed of two wheels is subjected to closed loop control so that the practical azimuthal angle of the omnidirectional wheel tracks the expected value; the flexible steering is realized; the cost is low; the omnidirectional moving requirements of the heavy equipment or cargo transportation can be met. The omnidirectional platform comprises the omnidirectional wheel and a platform bottom plate connected with the omnidirectional wheel through the rotary support bearing; the non-steering flexible movement of the platform bottom plate is realized.

The invention relates to photoetching technology in the semiconductor industry, in particular to an optical proximity correction method. The method comprises the following steps of: dividing a territory into at least two areas according to different critical dimension control accuracies; and respectively performing optical proximity correction on the at least two areas according to the requirement on critical dimension control accuracy, and adopting the same correction accuracy for areas with the same critical dimension control accuracy. By the optical proximity correction method, areas with different critical dimension control accuracies are corrected by using different correction accuracies, the correction accuracy is distributed according to needs, the accuracy requirement of the optical proximity correction is met, the operating time of an optical proximity correction system is effectively shortened, and the production efficiency is improved.

The invention discloses a road network flatness evaluation system and method based on vehicle vibration data, and the system comprises a vehicle-mounted terminal which is used for obtaining the vehicle vibration acceleration and GPS positioning data of a fixed line, and transmitting the collected data back in real time; the cloud server is used for receiving, analyzing and storing the data uploaded by the vehicle-mounted terminal and relates to a road network flatness evaluation algorithm; the visual cloud platform is used for displaying the road network flatness data by utilizing a GIS (Geographic Information System), carrying out quality analysis, report statistics, assistant decision and the like, and pushing the data to other system platforms; and the comfort level navigation module isused for carrying out comfort level navigation by utilizing the road network flatness data to obtain the most comfortable path between the two points. The vehicle vibration response data is acquiredby using the vehicle, acquisition, transmission, analysis and release are integrated, the road network flatness detection cost is reduced, auxiliary decision reference is provided for a maintenance management department, and meanwhile, the data can be used for comfortable route navigation and serve the public.

The present invention discloses a pentaprism scanning detection method for an aspheric reflector. The method comprises: 1) arranging a device required for detection; 2) performing scanning detection of a single bus; 3) performing scanning detection of the next bus of the rotation angle a of the aspheric reflector after the scanning of the single bus is completed; and 4) performing detection data processing and fitting. All the angle differences are transited to the slope values of the corresponding positions of the reflective surface of the aspheric reflector, the slope values are fitted with the Zernike gradient polynomial, and the low-order surface-shaped error parameters of the aspheric reflector are obtained. The high-precision low-order surface-shaped error parameters of the aspheric reflector can be obtained.

The disclosed modeling method for equivalent capacitor model comprises: selecting equivalent parameter and desired condition for impedance calculation and decision respectively, which can avoid defect by simple calculation method. This invention can meet different simulation precision request, fit to variable capacitors, and benefit to simulation result analysis.

The invention discloses a cruise section autonomous navigation position deviation correction method, and belongs to the technical field of deep space detection. The method comprises the following steps: establishing the dynamic model of a detector, and linearizing the dynamic model; establishing an autonomous navigation measurement model, obtaining the gray images of a visible planet by an opticalnavigation camera, and carrying out space-borne image processing to complete the identification and tracking of the mass center of the visible planet; determining the initial orbit of the detector; correcting the position of the visible planet according to relative position information between the visible planet and the detector; correcting visible planet mass center angle position observation information through relative speed information between the visible planet and the detector in order to obtain an accurate observation model; and resolving the real-time state of the detector based on anonlinear system filtering algorithm according to the dynamic model and the measurement model in order to realize real-time navigation. The method can improve the estimation accuracy and the filteringconvergence speed of a cruise section autonomous navigation method, realizes the rapid and accurate estimation, and provides a support for the design of deep space detection cruise segment navigationschemes.

The invention belongs to the technical field of neural networks, and relates to a convolution kernel cutting method based on an entropy importance criterion model. In order to enable a convolutional neural network model with large parameter quantity, large calculated quantity and excellent performance to meet a real-time requirement in practical application. The invention provides a convolutionalkernel cutting method based on an entropy importance criterion model. The convolution kernel with less information amount is cut by taking a mode of solving image entropy of an activation channel of each convolution layer as a criterion for evaluating the importance of the corresponding convolution kernel. Therefore,, a small model which is excellent in performance and small in parameter amount and calculation amount is obtained, and the small model has the performance advantage and can meet the real-time performance and precision requirements of practical scene application.

The invention provides a bifidobacterium LJM-001 strain. The collection number of the bifidobacterium LJM-001 strain is CGMCC No.4090. The LJM-001 strain is hypersensitive to dimethoate and is a working strain for detecting dimethoate residues in food. The invention also provides a microbiological method for screening dimethoate residues in food. According to the size of antibacterial rings on a screening culture medium, whether the residual quantity of the dimethoate in food samples exceeds the standard or not can be judged. The method for screening the dimethoate residues in food has the characteristics of simpleness and convenience for operation, low cost, high sensitivity and suitability for sample screening, and the screening requirement of a large number of samples in the pesticide residue detection department in China is met.

An anti-fatigue manufacturing method of a car transmission gear comprises the steps that forging blanking, heat pretreatment (isothermal normal fire), gear blank processing, gear hobbing, gear strengthening and toughening treatment (the gear part is subject to two times of induction heating and circulatory quenching), modification of criteria to the drawing demand, gear hobbing, gear shaving and gas nitrizing process are carried out in sequence. By adopting the method, 6-grade or more than 6-grade precise car gears can be efficiently produced in batch at low price, and the produced car gears has the bearing / carrying capacity almost as well as that of alloy cemented steel. The car transmission gear manufactured by adopting the method can replace the carburized and quenched gear in the prior art.

The embodiment of the invention discloses a band-gap reference circuit. The circuit comprises a core circuit, a first compensation circuit and a second compensation circuit. The core circuit is used for generating band-gap reference voltage; the first compensation circuit is used for generating a first compensation current by utilizing the temperature characteristic of a MOS transistor in a sub-threshold region and carrying out first compensation on the band-gap reference voltage; the second compensation circuit is used for generating a second compensation current by utilizing the characteristic of the difference between the BE junction voltages of two bipolar transistors and carrying out second compensation on the band-gap reference voltage. The band-gap reference voltage can be compensated from different angles through the first compensation current and the second compensation current, so that the high-order temperature coefficient in the band-gap reference voltage is effectively compensated, and the band-gap reference voltage obtained after compensation has the characteristics of high temperature range, low temperature coefficient and high precision.

The invention provides a wavelet transform compression and / or decompression-based neural network processing method. The neural network processing method comprises the following steps of: compressing off-chip data and sending the off-chip data onto a chip; decompressing the off-chip data which is compressed and sent onto the chip; receiving the decompressed data and executing a neural network operation; compressing the data obtained via the neural network operation and sending the data off to the chip; and decompressing the data which is compressed and sent off to the chip and storing the dataas off-chip data, wherein the compression and / or compression carried out on the data is based on wavelet transform. According to the wavelet transform compression and / or decompression-based neural network processing method, data compression is carried out during data loading and storage, so that the IO quantity is decreased and the time and energy overheads are reduced.

The invention relates to an oil well layered yield splitting method based on dynamic and static coupling, which can solve the technical problems of poor adaptability and large calculated amount of thetraditional splitting method. The method comprises the following steps: S100, determining a static splitting coefficient; resetting single well perforation data according to a layering result, and generating a static splitting coefficient according to a single well logging interpretation result and the perforation thickness; S200, determining a single well profile splitting coefficient; generating a profile splitting coefficient after the liquid production profile data is reset layer by layer; and S300, determining a dynamic splitting coefficient according to the static splitting coefficientand the profile splitting coefficient. The oil well layered yield splitting method based on dynamic and static coupling has the following beneficial effects that (1) coupling splitting of a single well production and suction profile is achieved, the method is reasonable and effective, and the precision requirement of residual oil research can be met; (2) the method is simple, easy to operate andhigh in generalization performance; and (3), compared with a numerical simulation research method, the working time can be effectively saved, and the working efficiency is greatly improved.

The invention provides a calibration device and calibration method for a compound-eye type spherical vision system. The calibration device comprises a data acquisition system and an angle adjustment device. The angle adjustment device consists of a sensor assembly and a mechanical adjustment mechanism. The sensor assembly includes an angle sensor A, a linear displacement sensor B and an angle sensor C, wherein the sensors are connected with an input terminal of a multi-channel data acquisition card of the data acquisition system by leads; the angle sensor A collects a rotation angle theta2 of a rocker arm around an Y axis; the linear displacement sensor B collects a distance d between a light source and a spherical vision system; and the angle sensor C collects a rotation angle theta 1 of the spherical vision system around a Z axis. Compared with the traditional calibration method, the provided calibration method has the following advantages: one-time integrated mounting and calibration of the large-range spherical surface can be realized. While the precision requirement is met, the cost is reduced, the efficiency is improved, and the operation becomes simple and convenient.

The invention provides a correction method for an absolute error of a temperature measuring instrument. The method is characterized in that a piecewise linear algorithm based on a least square methodis adopted to search a fitting function; the whole measuring range interval is divided into a plurality of intervals; a linear equation of the temperature absolute error value delta TX relative to thetemperature true value T is searched in each interval, a plurality of piecewise linear equations are obtained, and the piecewise linear equations serve as an expression of a fitting function delta TX= F (T) and are used for describing the characteristics of the temperature absolute error value delta TX. The hardware cost of the temperature measuring instrument can be reduced while the measuringprecision of the temperature measuring instrument is improved.

The invention relates to a position and posture parameter measuring system and method for a machine body of a tunneling machine. The system comprises a laser emitter, a laser detection target, a laserdetection target plate, a single chip microcomputer, a subsequent connecting circuit, an output interface and a double-axis inclined angle sensor, wherein the laser emitter gives out fan-shaped laserbeams capable of being projected into linear light spots; the laser detection target is vertically arranged on the machine body of the tunneling machine; the offset displacement of the machine body of the tunneling machine can be known according to the scale value reading of the located position of the linear light spots formed by the projection on the laser detection target; the laser detectiontarget plate formed by light-sensitive detection element dot matrixes is flatly laid and arranged on the machine body of the tunneling machine; and the offset displacement and course angle parametersof the machine body of the tunneling machine can be known through the transverse and longitudinal scale value readings of the linear light spots formed by the projection on the laser detection targetplate. The pitch angle and roll angle parameters of the machine body of the tunneling machine are obtained through the measurement by using the double-axis inclined angle sensor arranged on the machine body of the tunneling machine, so that the measurement on each position and posture parameter of the machine body of the tunneling machine can be completed.

The invention discloses a method for conducting near-infrared rapid detection on the component content in infant formula rice flour. The components include protein, fat, dietary fibers, water and ash, and infant formula rice flour samples are collected, sorted and numbered; parameters capable of influencing near-infrared spectrums of the samples are optimized, the optimal parameters are determined, the sample spectrums are collected, and the calculated average value of near-infrared spectrum data is obtained; a partial least square method is utilized in combination with the component content in the samples measured through a standard determining method; then selection of the optimal pretreatment method and the modeling wave band is conducted; near-infrared analysis model of the protein, the fat, the dietary fibers, the water and the ash in the infant formula rice flour are established respectively; the component content in the samples of the infant formula rice flour to be detected is predicated. According to the method, pretreatment and chemical reagent are not needed, the method is easy to operate, efficient and environmentally friendly, the predicated results meet the requirement for the precision of the standard determining method, and obvious difference does not exist in statistic and analysis results.

The invention provides a testing device and method for measuring soil body fracture toughness by the aid of soil body self-weight. The testing device comprises a testing platform and a soil beam mold, wherein the testing platform comprises a base platform, a fixed support and a sliding support, the base platform adopts a flat-plate structure, the fixed support is a long strip with the rectangular cross section and is fixed on one side of the upper plane of the base platform, the sliding support is placed on the upper plane of the base platform and can slide on the plane, the cross section of the sliding support is rectangular, and rolling bearings or rolling balls are arranged in upper and lower planes of therectangle; an inner cavity of the soil beam mold is rectangular and adopts a detachable rigid structure. With the adoption of the testing method for measuring the soil body fracture toughness by the aid of the soil body self-weight, soil body fracture conditions can be reflected relatively truly and objectively, the soil body fracture toughness parameter can be determined by recording the initial fracture extension length, operations are simple, the device is simple, themeasurement accuracy is higher, and the accuracy requirement for the engineering soil body fracture parameter can be met.

The invention provides a bifidobacterium longum LJM002 strain, the preservation No. of which is CGMCC No. 4900. The LJM002 strain is ultra-sensitive to acephate and is a work strain for detecting the residue of the acephate in foods. The invention also provides a microorganism method for screening the residue of the acephate in the foods, which comprises the step of judging whether the residue limit of acephate in food samples to be detected exceeds the standard according to the size of a bacteriostatic ring on a screening medium. The method for screening the residue of the acephate in the foods has the characteristics that the method is simple to operate, has low cost and high sensitivity and is suitable for sample screening. The method conforms to the screening requirements of China's pesticide residue detection department for a large quantity of samples.

The invention relates to a remote-sensing image target recognition method based on feature tensors and a support tensor machine, and aims to solve the problem that existing vector structure features cannot maintain spatial structure information which targets in remote-sensing images have, and system models trained and obtained thereby are very difficult to directly satisfy precision requirements.A process of the method includes: first, selecting a training image set on remote-sensing images, and selecting slices of to-be-recognized target and background samples on training images according tothe size of to-be-recognized targets on the training images; second, extracting SIFT or SURF features of the slices, and constructing the feature tensors; third, deriving a classification decision hyperplane; fourth, utilizing the support tensor machine to carry out target recognition on a to-be-recognized remote-sensing image to obtain slices containing objects labeled as the targets; and fifth,extracting the slices containing the objects labeled as the targets, and carrying out slice merging to obtain a final recognition result. The method is used in the field of remote-sensing image target recognition.