23results about How to "Meet precision requirements" patented technology

The invention relates to the technical field of computer data, in particular to a floating point data processing method and device, computer equipment and a storage medium. The floating point data processing method is applied to a main processor, a coprocessor composed of an anti-trigonometric function module is embedded in the main processor, and the method comprises the steps that a to-be-processed floating point variable of an anti-trigonometric function and corresponding data processing information are obtained from the coprocessor according to a preset floating point instruction; the method comprises the following steps: converting a to-be-processed floating point variable into a to-be-processed fixed point variable, carrying out shift processing according to an index part and a mantissa part of the to-be-processed floating point variable, mapping a shifted target fixed point variable to a preset coordinate space, carrying out vector iteration on the mapped fixed point variable, obtaining an initial output result after iteration, and carrying out reflection mapping to obtain a target fixed point variable; and obtaining a target output result after reflection and carrying out floating point conversion to obtain a target floating point quantity. The invention provides an anti-trigonometric function floating point data processing method with higher efficiency.

The present disclosure relates to a model deployment method and device, electronic equipment, storage medium and product. The method comprises: obtaining an image saliency segmentation model; the image saliency segmentation model is used for saliency segmentation of an input image, the image saliency segmentation model comprises a preset activation function, the output value of the preset activation function is in a preset range, the maximum value of the preset range is a first preset value; converting the model format of the image saliency segmentation model into a target model format supported by a target chip; deploying the image saliency segmentation model in the target model format on the target chip. The present disclosure can limit the size of the output value of the preset activation function, thereby improving the accuracy of the image saliency segmentation model. In addition, by converting the model format of the image saliency segmentation model into the target model format, the image saliency segmentation model can be efficiently run on the target chip, thereby improving the inference efficiency and inference performance of the image saliency segmentation model.

The present application relates to large aperture optical machine structure engineering analysis technical field, especially to a kind of gravity unloading point layout method of large space mirror, comprising the following steps: S1: the finite element analysis model of space mirror is established, and the discrete node surface shape data and unloadable point coordinate data are exported.S2: surface shape fitting is carried out, and surface shape accuracy is calculated.S3: its surface shape residual elevation diagram is drawn, and high residual point is identified.S4: the unloadable point coordinate of space mirror is obtained.S5: space mirror is supported using unloadable point, and its degree of freedom is constrained;Finite element analysis model is updated, and step S2 is repeated, and surface shape accuracy is calculated.S6: whether surface shape accuracy meets the requirements is judged, if not, then repeat step S3 to step S5;Until meet the requirements.The present application has the advantages that, through the gravity unloading point layout of space mirror, gravity unloading point can be more accurately fixed in flexible support mode or the like during processing, and the influence of gravity on surface shape accuracy is reduced.

The invention provides a temperature sensing fire alarm detector testing device, and relates to the technical field of fire detection. The temperature sensing fire alarm detector testing device is used for testing a fire alarm detector, the temperature sensing fire alarm detector testing device comprises a control box and a heat preservation cover, the heat preservation cover comprises a containing cavity and an opening communicated with the containing cavity, and the fire alarm detector can stretch into the containing cavity through the opening; the control box is connected with the heat preservation cover and can control the heat preservation cover to be at the preset heating temperature. The heating temperature of the heat preservation cover can be controlled through the control box, so that the temperature sensing fire alarm detector testing device can meet the precision requirement for testing the temperature sensing fire alarm detector. Meanwhile, compared with a professional testing tool, the temperature sensing fire alarm detector testing device is simple in structure and low in cost. Therefore, the temperature-sensing fire detector testing device takes the requirements of cost and testing precision into account.

This invention relates to the field of oil and gas geological exploration technology, and particularly to a method and apparatus for predicting thin interbedded mud-sand reservoirs based on pre-stack waveform indication inversion. The method includes: processing pre-stack CRP gathers to obtain corner gather data; performing AVO attribute analysis on the corner gathers; stacking them at different angles to generate an offset stacked data volume; obtaining shear wave curves for all wells in the work area based on logging curves and geological parameters; determining rock elastic parameters that reflect reservoir and fluid characteristics based on these curves; establishing a rock physical quantity scale and selecting sensitive parameters that can distinguish between sandstone and mudstone and fluids; setting key inversion parameters; performing inversion on the offset stacked data volume based on the sensitive parameters and key inversion parameters; and predicting thin interbedded mud-sand reservoirs based on the obtained inversion results. This invention achieves high-precision inversion results, effectively improving the accurate prediction of thin interbedded layers, meeting the well accuracy requirements for development, and providing support for the efficient development of tight oil and gas.

The application relates to the technical field of CAE preprocessing and cloud cooperation, and discloses a lightweight CAE geometry engine and a cloud real-time cooperation method and system. A cloud server acquires an original CAE geometry model, performs topological simplification and data compression on the original CAE geometry model, and generates a lightweight geometry data file containing multiple resolution levels; the cloud server pushes the received difference data packet to other online cooperation terminals; the other cooperation terminals parse the unique version number carried by the difference data packet through a locally loaded WebAssembly geometry engine module, and perform operation replay updating on the local geometry model according to the differential data contained in the difference data packet. According to the scheme, the original CAE model data volume is reduced by 90%-95%, the WebAssembly engine realizes a 100,000-face model rendering frame rate of 30-60 fps, and the operation response delay is less than or equal to 100 ms, thereby breaking through the performance bottleneck of browser-side geometry processing.

The invention discloses a power grid security checking method and device for wind power plant equivalence, which are used for solving the problem that a calculation result cannot meet a security checking requirement possibly caused by an electromechanical transient model and parameter deviation of a low-voltage ride-through characteristic in wind power plant equivalence. The method comprises the following steps: acquiring low-pass characteristic data of each wind turbine generator under the condition that different short-circuit faults occur in a power system; for each wind turbine generator set, constructing a reference model of the wind turbine generator set according to the low-pass characteristic data, and performing parameter updating on the reference model based on the maximum allowable value of the average absolute deviation to obtain a check model; carrying out equivalence based on the plurality of reference models to obtain a low-voltage crossing characteristic reference model of the wind power plant, and carrying out equivalence based on the plurality of check models to obtain a low-voltage crossing characteristic check model of the wind power plant; and carrying out error checking on the low-voltage crossing characteristic reference model by adopting the low-voltage crossing characteristic checking model, and if the checking is passed, applying the low-voltage crossing characteristic reference model to power grid safety checking.

The application provides a SAR image target recognition method based on a saliency map guide, comprising: generating a corresponding target saliency map according to an original SAR image, wherein the target saliency map contains target key information; extracting deep features and shallow features in the original SAR image based on the target saliency map, and guiding the deep features and the shallow features to be fused; refining the fused image features by using a multi-layer hollow convolution to obtain target features; and performing type recognition on the target features by using a full connection layer to obtain a target recognition result. The application avoids noise interference in a background image, improves in-class consistency of target features, can efficiently and robustly realize mining of basic features of a target, and improves precision and efficiency of SAR image target recognition.

The invention discloses an optical synthetic aperture imaging system sub-aperture baseline accurate measurement method, which specifically comprises the following steps of: oppositely mounting two femtosecond laser ranging probes on respective micro adjusting frames, ensuring that optical axes are parallel and the directions are opposite, and taking the two femtosecond laser ranging probes as a sub-aperture baseline measurement instrument; the method comprises the following steps of: placing a plurality of sub-aperture primary mirrors in a reference mirror with a known distance to calibrate the distance between the two probes, respectively moving the sub-aperture primary mirrors between the sub-aperture primary mirrors and a conical lens arranged on an optical axis of a system, respectively measuring the distance between each sub-aperture primary mirror and the fixed conical lens, and calculating an entrance pupil base line according to structural parameters of the sub-apertures and the conical lens. According to the method, the problem that the sub-aperture entrance pupil base line in the optical synthetic aperture imaging system with the variable base line and the invariable base line is difficult to accurately and simply measure is solved, technical support is provided for measurement and control of the pupil mapping error of the imaging system, and technical guarantee is provided for the observation view field and the observation efficiency of the imaging system.

The present invention discloses a detector array for detecting the incident angle based on the distance between adjacent diffraction points in a waveguide, and relates to the field of angle measurement. The present invention includes a light source, a grating structure, a grating protection layer, an aperture, an optical waveguide, and an optical detector array; the grating structure is located on a surface at one end of the optical waveguide, and the optical detector array is located on the upper surface or the lower surface of the other end of the optical waveguide; the aperture is located on the upper surface or the lower surface of the optical waveguide and between the grating structure and the optical detector array; the incident angle and the diffraction angle of the light source are calculated by measuring the distance between adjacent diffraction points. The present invention can realize the angle measurement of incident light with high precision; the sub-wavelength one-dimensional grating structure integrated on the optical waveguide and the ultra-thin photodetectors arranged around the waveguide are used to realize angle perception based on the ultra-thin device.

The invention provides an aircraft flap component robot compliant assembly control method and system, and relates to the technical field of compliant assembly control. According to the method, a flap part compliant assembly system is established through a force sensor and a mobile industrial robot, a compliant assembly and adjustment method integrating man-machine cooperation and robot compliant control is innovated, the zero drift and temperature drift of the force sensor and the gravity and gravity center of a tail end load are identified, and the accuracy of external force information sensing of the system is guaranteed; a high-flexibility compliant control mechanism with free matching of multiple modes such as single shaft, multi-shaft linkage, stepping and continuous adjustment is designed, jitter and non-jitter intervals are fitted according to a system force control coefficient jitter distribution test, and a theoretical assembly model based on a flap sample piece assembly track and assembly force information is provided. And the aircraft flap flexible assembly based on the expected trajectory is realized. The invention provides a solution for the flexible assembly of the flap part of the large aircraft, and has the characteristics of intelligence, good flexibility, strong adaptability and the like.

The invention discloses a non-binary CDAC layout structure and a design method for reducing parasitic parameters thereof, the non-binary CDAC layout structure comprises a low-weight distribution area and a high-weight distribution area, the low-weight distribution area is used for setting a capacitor with a lower weight, the high-weight distribution area is used for setting a capacitor with a higher weight, and the low-weight distribution area is used for setting a capacitor with a lower weight. Capacitors arranged in the low weight distribution area and the high weight distribution area form a capacitor array, and a circle of virtual capacitors are arranged on the periphery of the capacitor array. The unit capacitors in the low weight distribution area are in even number rows and are horizontally and outwards arranged in sequence from small to large according to the capacitor weights along the center point of the capacitor array, and the unit capacitors on each weight are symmetrically arranged along the horizontal center line of the capacitor array; the unit capacitors of the high-weight distribution area are distributed in a central symmetry mode from small to large according to the capacitor weights with the center point of the capacitor array as the original point. According to the invention, the parasitic between the wires can be effectively reduced, the matching precision of the capacitor array is improved, and the precision requirement of the capacitor array in the SAR ADC is met.

The present application belongs to the technical field of molecular medicine, and relates to a probe, a marker combination and a prediction method for non-invasive risk grading of neuroblastoma. The probe UUU-DZ-tFNA can detect UDG in vitro, cells, living bodies and plasma exosomes, and it is proved that UDG in plasma exosomes is closely related to the risk grading of NB. The plasma exosomes of NB patients are collected MYCN Whether to amplify, whether the tumor is metastatic, neuron-specific enolase content, lactate dehydrogenase content and plasma exosome UDG content are integrated, and a NB non-invasive risk grading prediction model is established through a machine learning algorithm. The optimal risk grading model is a neural network model. The area under the receiver operating characteristic curve of the combined model is improved by 5.2% compared with the optimal prediction result of the combined prediction model of the single clinical index, and the sensitivity and specificity are significantly improved. The present application has key clinical values for accurate grading of NB children, individualized treatment plan formulation and efficacy monitoring.

The utility model discloses a kind of coffee bean rationing mechanism, including mechanism shell, welding installation is carried out in the through-hole of mechanism shell upper surface, mechanism shell lower surface is fixedly installed with square funnel in the position of front end, mechanism shell inside lower surface is fixedly installed with electronic metering scale, the surface of electronic metering scale is bonded with coffee bean weighing box, feeding structure is movably installed between mechanism shell inner wall and the lower end of feed pipe, mechanism shell side is welded with integrated controller in the position of a corner, coffee bean weighing box includes C-shaped bottom frame bonded on the surface of electronic metering scale, box body welded on the upper end of C-shaped bottom frame.The utility model said a kind of coffee bean rationing mechanism, by the accurate cooperation of each component, the full-process automation control of the feeding, weighing loading and unloading of coffee bean is realized by this mechanism, satisfy the precision requirement of rationing.

The invention discloses an optical synthetic aperture imaging system base line precision measurement method, which specifically comprises the following steps: when a light combination imaging subsystem does not exist in a system, simultaneously imaging exit pupils of sub-apertures after base line changing and two reference holes with known position coordinates on a reference diaphragm by using a movable base line measurement telescope; determining a coordinate system by using the two reference holes, respectively resolving exit pupil centroid coordinates of each sub-aperture in the coordinate system, and calculating entrance pupil coordinates of each sub-aperture according to known structure parameters of the sub-aperture; when a light combination imaging subsystem exists in the system, the same movable baseline measuring telescope is used for simultaneously imaging an entrance pupil of each baseline-changed light combination telescope and two reference holes with known position coordinates on a reference diaphragm, and the two reference holes are used for determining a coordinate system; the entrance pupil centroid coordinates of all the light combination telescopes are calculated in the coordinate system; the entrance pupil coordinate of the sub-aperture and the entrance pupil coordinate of the light combination telescope are compared with the theoretical position coordinate, and the difference value is the baseline mapping error. The invention provides a solution for measuring the baseline mapping error of the optical synthetic aperture imaging system.

The present invention belongs to the technical field of gas turbine turbines, and specifically designs a variable input turbine surface physical field reconstruction method based on a pyramid neural network. A data set is obtained, data in the data set is extracted and preprocessed, and the data set is divided into training data and verification data; a pyramid network is constructed based on a convolutional network; a distributed training strategy is used to train the constructed pyramid network using the training data; the performance of the trained pyramid network is verified using the verification data; the normalized experimental data is input into the verified pyramid network, and the complete blade surface physical field can be reconstructed. The present invention uses a supervised learning method to estimate the complete blade surface pressure and temperature field from sparse data obtained from a limited number of fixed measurement points distributed at a given number of blade height sections, which can improve the information density of blade grid experiments and reduce the cost of experiments and numerical simulations.

The invention discloses a spin scanning direction finding and cross positioning method based on a single unmanned aerial vehicle platform, and relates to a radio positioning technology. The method comprises the following steps: controlling an unmanned aerial vehicle carrying a directional antenna to hover at a first measurement point and spin around an axis, and synchronously acquiring received signal strength (RSSI) and a yaw angle; obtaining a first azimuth angle of the radiation source by detecting an RSSI peak value; then the unmanned aerial vehicle flies to a second measurement point to repeat the process to obtain a second azimuth angle; and finally, calculating the coordinates of the radiation source by using a cross positioning principle according to the coordinates and the azimuth angles of the measurement points. According to the invention, the antenna mechanical scanning is realized by using the spinning of the unmanned aerial vehicle, the single-station multi-point direction finding and positioning are realized by using extremely simple hardware (single antenna), and the method has the advantages of low cost, fast deployment and easy integration, and is suitable for fast searching and positioning of a ground fixed radiation source.

The invention discloses a full-temperature calibration compensation method and system for an IMU acceleration channel. Firstly, a three-input variable-temperature calibration method is adopted to realize zero offset and scale factor temperature compensation of an IF / VF quantization plate; secondly, for the collected accelerometer data subjected to IF / VF quantization plate temperature compensation, adopting a three-position variable temperature calibration method to realize zero offset and scale factor temperature compensation of the accelerometer; and finally, aiming at the collected acceleration channel data after IF / VF quantization plate temperature compensation and accelerometer temperature compensation, adopting a multi-position method to realize constant temperature calibration compensation of the acceleration channel. On one hand, acceleration full-temperature calibration compensation can be completed by adopting low-configuration calibration equipment under the condition of a calibration environment with relatively simple function configuration, so that the cost is reduced; on the other hand, it can be guaranteed that the calibration compensation precision of IMU acceleration is high, and the precision requirement of a conventional navigation control system is met.

The invention discloses a method for detecting the amplification factor of a small-caliber telescope. The method comprises the following steps: S1, installing a detection device in place according to detection requirements; s2, the detection device is adjusted, so that interference fringes of emergent light of the telescope reflected by the plane mirror and interference fringes of reflected light of the plane mirror are displayed on the surface-shaped interferometer at the same time; s3, adjusting the large-aperture plane mirror to a small angle, displaying interference fringes of the two areas and angle values represented by the interference fringes on the surface-shaped interferometer, and respectively recording the interference fringes and the angle values as theta T and theta M; s4, reversely adjusting the large-aperture plane mirror by a small angle, and displaying interference fringes of two areas and angle values represented by the interference fringes on the surface-shaped interferometer, and respectively recording the interference fringes and the angle values as theta T and theta M; s5, calculating the angle magnification M angle of the telescope to be measured, and converting the angle magnification M angle into the magnification M of the telescope to be measured; and S6, replacing the sub-telescopes, repeating the steps S1 to S5, and obtaining the amplification factors of the four telescopes. The method is mature in technology, easy to implement, high in measurement precision and convenient to popularize and apply.

The present invention provides a BNB glue dispensing process, comprising the following steps: step S1, glue dispensing track import, import the template information of the standard workpiece, and generate the template glue dispensing track; step S2, workpiece positioning and edge finding, scanning the current glue dispensing workpiece through the visual module to obtain the XYZ position information of the edge of the workpiece, and calculating and correcting the template glue dispensing track through software to obtain the actual glue dispensing track; step S3, point-building outer glue wall and inner glue wall, point out the outer glue wall and inner glue wall on the workpiece according to the actual glue dispensing track and solidify to form a glue dispensing groove on the workpiece; step S4, perform at least two glue fillings, stand and solidify after the glue is leveled. Point-building inner glue wall and outer glue wall on the workpiece, replacing the role of the mold, does not require the mold for glue dam molding, and can reduce costs; then, perform at least two or more glue fillings in the glue dispensing groove, and the self-leveling flatness of the glue in the glue dispensing groove is better.

The invention discloses a lightweight positioning method and system based on two-dimensional laser relative cubessatellites, and the method comprises the steps: collecting two-dimensional laser radar polar coordinate point cloud data of the cubessatellites, converting the data into a two-dimensional raster image, carrying out the preprocessing, obtaining a denoised two-dimensional raster image, and carrying out the positioning of the cubessatellites based on the image. A lightweight YOLO model is adopted to select an initial target point cloud cluster region; the method comprises the following steps: acquiring contour feature parameters of an initial target point cloud cluster region, obtaining a three-dimensional relative position observation vector of a cubesat relative to the center of mass of the aircraft, obtaining a two-dimensional pose of the aircraft in a global coordinate system by using a multi-layer perceptron neural network based on the three-dimensional relative position observation vector and historical pose information, and completing positioning. According to the method, stable and accurate relative pose estimation can still be realized under the conditions of noise interference and target dynamic change, and a reliable visual positioning solution is provided for a lightweight satellite autonomous docking task.

The utility model relates to a vehicle-mounted weighing device, which comprises a pressure data acquirer, a vehicle-mounted weighing controller and a display, the pressure data acquirer comprises a plurality of suspension embedded pressure sensors, the suspension embedded pressure sensors are uniformly arranged on a vehicle suspension, and the suspension embedded pressure sensors are electrically connected with the vehicle-mounted weighing controller through cables with shielding layers; the vehicle-mounted weighing controller is fixed to the inner wall of a vehicle cab, the displayer is embedded into a center console of a vehicle, and the vehicle-mounted weighing controller is connected with the displayer through a CAN bus interface. The pressure data acquisition device acquires pressure data borne by the current vehicle and sends the pressure data to the vehicle-mounted weighing controller; and the vehicle-mounted weighing controller reads the pressure data, sends the pressure data to an external data platform by using an internal communicator, and sends the returned load data to a display for displaying. The device can break through technical bottlenecks among data accuracy, operation and maintenance efficiency and working condition adaptability.

The utility model relates to a drill bit and a numerical control machining center, the drill bit comprises a cutter handle and a cutter body, the cutter body comprises a cutter head, cutter teeth and a cutting edge extending in the same direction as the cutter teeth, the cutter head is coaxially connected to the cutter handle, the cutter teeth are coaxially connected to the side, away from the cutter handle, of the cutter head, the cutting edge is arranged on the outer side of the cutter teeth, the margin width of the cutting edge is 0.35 mm-0. 5mm, and the margin height of the cutting edge is 0.75 mm-0. 95 mm. According to the technical scheme, the technical problems that a traditional drill bit is low in machining precision and high in hole piece machining cost are effectively solved.