27results about How to "Improve operation accuracy" patented technology

The invention discloses a structure parameter library construction method, a super-lens design method and an optical system. The super-structure grating primitive structure parameter library construction method comprises the steps of obtaining a first grating primitive structure and determining a first periodic distribution function according to the first grating primitive structure; according to the characteristics of the grating primitive structure, full-analytic Fourier transform expansion is carried out on the first periodic distribution function, and a first Fourier analytic function corresponding to the first grating primitive structure is obtained; performing strict coupling wave analysis on the first Fourier analytic function in a preset polarization direction to obtain first complex amplitude information; and according to the first complex amplitude information, determining first matrix information used for describing a polarization behavior of a first grating primitive structure, and associating the first matrix information and the first grating primitive structure as first design information in a parameter library. The structural parameter library construction method provided by the invention is suitable for an application scene for processing polarization characteristics and phase information, and avoids segmentation or discretization.

The invention relates to a multi-objective collaborative optimization scheduling method for an integrated energy system, and aims at a multi-energy unit optimization problem, namely a multi-parameter optimization problem, in an optimization model, an optimization model parameter initialization method based on improved chaotic mapping is adopted. An initial parameter with a high random average distribution probability is generated to improve the convergence speed of a system optimization process and reduce the probability of falling into a local optimal solution. Meanwhile, aiming at a multi-objective optimization problem, an improved grey wolf algorithm based on a Pareto optimal solution theory is adopted to realize optimal scheduling of the system for an economical efficiency optimal objective and a carbon emission minimum objective. According to the system, a comprehensive energy system architecture including water electrolysis hydrogen production using photovoltaic and wind power generation and hydrogen energy storage, power generation, heating and refrigeration is comprehensively considered, comprehensive utilization and control of various new energy power generation and utilization units are achieved, and carbon emission can be effectively reduced.

The invention discloses a built-in self-test repairing method for a PE matrix of an AI accelerator chip, and relates to the technical field of circuit structure design of the AI accelerator chip. According to the built-in self-test method, a scan test generator is adopted to generate scan test excitation, an output response is transmitted through a configurable PE operation unit, an output response comparator is adopted to judge whether the output response is correct or not, and a fault PE diagnostor is adopted to judge a row and column address where a fault PE unit is located; according to the built-in self-repairing method, an RPE redundant operation unit is used for replacing and repairing a fault PE unit, and a corresponding data bus is distributed to the RPE redundant operation unit through an activation data bus and a weight data bus distributor according to row and column addresses. According to the invention, the self-test of the PE arithmetic unit and the self-repair of the failed PE arithmetic unit are realized with a relatively small extra circuit area proportion, so that the yield of the AI accelerator chip is improved, and the manufacturing cost of the chip is reduced.

The invention relates to an FPC-based flexible intelligent sensing electronic skin, belongs to the technical field of integrated circuits, and solves the problem of poor contact sensing stability in the fields of robots, medical health and the like in the prior art. The skin comprises a flexible touch sensor array, a row selection module and a sensor interface circuit. The flexible touch sensor array is used for sensing an external pressure signal and converting the pressure signal into a current signal; the row selection module is used for selecting rows of the flexible touch sensor array through high and low levels; and the sensor interface circuit is used for selecting columns of the flexible tactile sensor array and converting the current signals of the array elements corresponding to the selected rows and columns into digital signals which are used for representing the pressure value of the flexible tactile sensor array. The characteristics of softness, stability and safety of the flexible sensing electronic skin are realized.

The invention relates to an in-memory calculation circuit based on BNN algorithm acceleration, belongs to the technical field of integrated circuits, and solves the problems of large circuit area, high energy consumption and low energy efficiency of storage calculation in the prior art. The circuit comprises the following steps: selecting a first algorithm network and a second algorithm network in a flexible RRAM storage array; inputting multiple rows of data into a first algorithm network and a multiply-accumulate module to obtain a multiply-accumulate result, and inputting the multiply-accumulate result into a shifter; the shifter shifts the multiply-accumulate result, outputs a shift result to the adder-subtractor, and outputs an addition calculation result to the comparator; the comparator carries out binarization processing on the sum calculation result, outputs the result to a second algorithm network, carries out operation again, outputs column accumulated current, and sends the column accumulated current to a maximum value comparator output module; and the maximum value comparator output module judges that the column where the maximum value of the column sum is located is a classification result. On the premise of keeping the original network precision, the required circuit area is greatly reduced, the energy consumption is reduced, and the energy efficiency of the whole storage and calculation circuit is improved.

The invention provides a public building cold load prediction method, system, equipment and medium, and the method comprises the following steps: collecting cold load related data, carrying out the preprocessing, employing a random forest method to process the processed related data, and obtaining a model input data set; optimizing the SSA model by adopting the good point set, and optimizing the LSTM grid parameters based on the optimized SSA model to obtain an RF-I SSA-LSTM mixed cold model; based on the RF-I SSA-LSTM mixed cold model and a model input data set, obtaining a cold load prediction result; according to the method, evaluation index model establishment and characteristic value extraction of the data set are carried out on the related influence variables of the large building cold load based on the random forest method, the variables with high correlation degree are selected as the model input data set, the RF-ISSA-LSTM mixed cold model has better global search ability, the optimization result is more accurate, and the optimization efficiency is improved. The technical problem that the cold load of the public building cannot be accurately predicted in the prior art is solved.

The utility model discloses a thread loosening device for a sewing machine, which relates to the technical field of sewing machines and comprises a bottom plate, a support plate fixedly arranged at the top of the bottom plate, a transverse plate fixedly arranged at the upper end of the support plate, a fixing plate fixedly arranged on the outer wall of the transverse plate, a push rod slidably arranged in the fixing plate in a penetrating manner, and a thread trapper fixedly arranged at the end of the push rod. The rod wall of the push rod is sleeved with a first spring, the two ends of the first spring are fixedly connected with the fixed plate and the push rod correspondingly, a first supporting rod is fixedly arranged at the middle end of the outer wall of the supporting plate, the rod wall of the first supporting rod is rotationally sleeved with a push plate, and a movable plate is arranged between the push plate and the push rod; and a thread loosening pushing mechanism is arranged between the vertical plate and the movable plate. According to the bottom plate, the supporting plate, the transverse plate, the vertical plate, the first supporting rod, the push plate, the thread clamping device, the push rod, the movable plate and the pushing thread feeding mechanism, thread loosening can be adjusted to different degrees only through single-time control, and the operation convenience of the thread loosening device in the sewing machine is improved.

The invention discloses an inverse solution rapid calculation method for an SCARA robot of a PRRR configuration. Belongs to the field of robots. The SCARA robot comprises a shaft 1, a shaft 2, a shaft 3 and a shaft 4 which are connected with one another; the method comprises the following operation steps: step 1, modeling by using a standard DH method (SDH), and determining DH parameters (theta, d, a and alpha) of each joint; 2, a robot tail end pose matrix is known, and an algebraic analysis method is used for solving a set of formulas for solving the angles or positions of all the shafts; 3, due to the fact that + / -number, arc tangent, arc cosine and other formulas are used, multiple groups of solutions exist; q3 is determined according to the set posture of the left arm or the right arm; and related variables in the matrix are selected, and the solved key angle value is verified to quickly determine q2 and q4. The method has the characteristics of high operation speed, accurate calculation result and the like, can meet the requirements of real-time operation and control of the robot, and can be applied to a real-time control system of the robot.

The present invention discloses an intelligent stable control method and system for a bionic transport robot. By implementing model predictive control and adaptive control strategies, the system can adjust its control parameters in real time to adapt to changing environmental and load conditions, thereby calculating the driving torque based on sensor data of the weight, center of mass and inclination of the bionic transport robot and combining the dynamic characteristics of the bionic transport robot, adjusting the proportional valve to achieve torque output to the hydraulic motor, and ensuring rapid response and high operating accuracy through dynamic adjustment of real-time control system parameters, thereby greatly improving the robot's work efficiency and reducing safety accidents caused by erroneous operations.

This invention relates to the field of tunnel engineering, and particularly to a tunnel shotcrete design method, storage medium, and electronic device that considers spatiotemporal effects. The method includes: calculating the final value of vertical deformation pressure and the radius of the plastic zone of the surrounding rock without support based on tunnel foundation parameters and tunnel shotcrete design parameters; calculating the deformation pressure as a function of time using a deformation pressure calculation formula, combining tunnel excavation speed parameters, the radius of the plastic zone of the surrounding rock, and preset shotcrete hardening characteristic parameters; inputting the deformation pressure-time function into a shotcrete load-support structure model, calculating the safety factor of the shotcrete at each time node based on the shotcrete hardening characteristic parameters, and iteratively adjusting the tunnel shotcrete design parameters according to whether the safety factor meets preset requirements, until outputting tunnel shotcrete design parameters that meet the preset requirements. This invention dynamically calculates deformation pressure considering spatiotemporal effects and iteratively adjusts parameters to ensure the load-bearing safety of the shotcrete throughout its entire life cycle and reduces construction risks.

The invention discloses a durability analysis method and system for a planetary mechanism of a drum-type coal mining machine, and the method comprises the steps: carrying out the mesh generation of a three-dimensional model of the planetary mechanism of the coal mining machine, and obtaining a network model of the planetary mechanism; importing the three-way force and the three-phase torque curve borne by the planetary mechanism and the grid model of the planetary mechanism into finite element analysis software for finite element analysis, and extracting a stress analysis result of the planetary mechanism in a working state; and importing the stress analysis result into durability simulation analysis software, and carrying out durability analysis on the planetary mechanism. The invention provides a durability analysis method and system for a planetary mechanism of a drum-type coal mining machine, and the method achieves the establishment of a durability simulation model of the planetary mechanism in the drum-type coal mining machine, gives full consideration to the load and driving load borne by the planetary mechanism when a coal mining machine drum cuts a coal seam, and improves the durability of the planetary mechanism. And carrying out durability simulation analysis to evaluate the durability life.

This invention relates to the field of integrated circuits and discloses a mixed-precision in-memory computing circuit, data processing method, and chip. The invention includes: a storage array, an index memory, and a multiply-accumulate calculation circuit. The storage array includes a first data element stored in a first precision format and / or a second data element stored in a second precision format; wherein the bit width of the first precision format is greater than that of the second precision format; the storage locations of the storage array are divided according to the bit width of the second precision format; the first data element occupies multiple consecutive storage locations; the read bit width of the storage array is an integer multiple of the bit width of the first precision format; the index memory stores the position index information of the first data element in the storage array; the multiply-accumulate calculation circuit is used to determine the precision format corresponding to the data read from the storage array based on the position index information, and performs a multiply-accumulate operation corresponding to the precision format, outputting the calculation result. This solves the compatibility problem between mixed-precision data storage and computing circuits.

The invention discloses a calculation method for adding an irregular sub-domain without a flux boundary condition in a computational domain, which comprises the following steps of: determining an irregular sub-domain of a substrate / impurity phase added in the computational domain, and drawing the irregular sub-domain into a substrate / impurity phase shape image; processing the image into data with a required model size; establishing a calculation equation of the calculation method coupled with the irregular sub-domain added with the flux-free boundary condition in the calculation domain; performing discrete difference on the calculation equation by adopting a finite difference method to obtain a discrete difference format equation; writing a phase field preposition program by applying a discrete difference format equation; importing the data into a phase field preposition program; taking an operation result of the phase field preposition program as an initial condition of a substrate / impurity phase, and importing the operation result into a constructed phase field model for describing a dendritic crystal growth process to obtain a calculation model coupled with the substrate / impurity phase with an irregular domain; a numerical solution of the calculation model is obtained through computer simulation. According to the invention, the operation efficiency and accuracy are improved.

The invention discloses a model, an establishment method and system thereof, a compensation method, equipment and a storage medium, and the establishment method comprises the steps: providing a measurement structure which comprises a plurality of measurement patterns, and the measurement patterns are etched patterns; selecting a sampling position of the measurement structure, wherein a part of measurement patterns of the sampling position represent feature information of the measurement structure; acquiring a plurality of sampling images of the sampling position; obtaining a graph contour of a measurement graph corresponding to the sampling position according to the plurality of sampling images; acquiring a plurality of measurement positions on the graph contour; obtaining an etching deviation value of the measurement position according to the graph contour; and establishing an etching deviation compensation model according to the etching deviation value of the measurement position. The precision of the etching deviation compensation model is improved.

The invention relates to a flexible touch system capable of identifying the hardness of an object, belongs to the technical field of integrated circuits, and solves the problems that a rigid system in the prior art is easy to break, needs hardware to be connected with a PC (Personal Computer), processes data and uploads the data to a cloud end, cannot run without networking and is low in speed. The system comprises a flexible touch sensor array, a peripheral circuit and a BNN calculation chip, the flexible touch sensor array is used for sensing an external pressure signal, converting the pressure signal into a current signal, and reading the current signal of each row of the sensor array to the peripheral circuit in a row scanning mode; the peripheral circuit is used for converting the current signals of each row into digital signals, amplifying, denoising and filtering the digital signals to obtain pressure values of each row, and transmitting the pressure values to the BNN calculation chip; and the BNN calculation chip is used for carrying out BNN algorithm operation on the pressure value to obtain a hardness classification result. On the premise of keeping the original network precision, the circuit area is reduced, the energy consumption is reduced, the energy efficiency of the whole storage circuit is improved, and the safety is improved.

This utility model discloses a combined synchronous display and controller utilizing AC sampling, including a current sampling circuit and a first voltage sampling circuit connected to the machine side, a second voltage sampling circuit connected to the system side, and a microprocessor. The microprocessor includes a first set of synchronous sampling AD ports and a second set of synchronous sampling AD ports. The current sampling circuit and the first voltage sampling circuit are connected to the first set of synchronous sampling AD ports, the first voltage sampling circuit is connected to the second set of synchronous sampling AD ports, and the second voltage sampling circuit is connected to the second set of synchronous sampling AD ports. By simplifying the number of sampling channels, replacing some hardware circuits with digital calculations performed by the microprocessor, and combining RC filtering with a unified bias reference, the system achieves simplified circuit structure, high sampling accuracy, strong anti-interference capability, accurate synchronization judgment, and effective electrical parameter measurement.

The invention discloses a neural network hardware acceleration method and system based on an adaptive activation function circuit, and belongs to the field of neural network hardware acceleration. The method comprises the following steps: constructing an adaptive activation function circuit by using a curve fitting method, and storing adaptive parameters through a memristor; constructing a memristor cross array, and based on the Ohm's law and the Kirchhoff's current law, converting input voltage into current output through the memristor cross array; inputting the current output into a self-adaptive activation function circuit, and performing nonlinear processing through self-adaptive parameters to obtain network layer output after self-adaptive activation function processing; the output of the network layer calculates a loss function through an off-chip calculation mode, and calculates the gradient of an adaptive parameter; the adaptive parameters in the memristor are updated according to the gradient of the adaptive parameters, and the form of the adaptive activation function is dynamically optimized. The adaptive activation function circuit accelerates model convergence more quickly by updating parameters in real time.

A calculation device (130) of a battery control device calculates a first resistance value (R1) of a secondary battery on the basis of the amount of change in a voltage value from a first time point (c1) to a second time point (c2) and the amount of change in a current value from the first time point to the second time point. Next, the change amount (beta) of the surface temperature is calculated on the basis of a first surface temperature (Ts1) in a range from the first time to the second time and a second surface temperature (Ts2) at a third time after a predetermined time (n) from the second time. Next, the amount of current of the secondary battery is calculated from the point in time at which the first surface temperature is measured to a third point in time (c3) at which the second surface temperature is measured. Then, the internal temperature of the secondary battery is estimated on the basis of the amount of change in the surface temperature and the amount of current. Then, on the basis of the internal temperature estimated with reference to the mapping table, a second resistance value (R2) in which the difference between the internal temperature and the surface temperature of the secondary battery is reflected is estimated. The degradation rate is calculated on the basis of the first resistance value and the second resistance value.

The present application relates to a flowered stereo calibration box and a camera calibration method based on an OCAM algorithm, wherein the flowered stereo calibration box comprises five checkerboards, each checkerboard is a regular row and column distributed black and white checkerboard, the bottom checkerboard is a square, the four side checkerboards are rectangles, the four side checkerboards are connected with one bottom side of the bottom checkerboard respectively, the four side checkerboards are equal to the included angle of the bottom checkerboard, and the four side checkerboards are divergent and inclined upward with the bottom checkerboard as the center; the checkerboard small grid of the bottom checkerboard is provided with a closed black frame, the black frame does not intersect with the checkerboard small grid; the three sides of the four side checkerboards which do not intersect with the bottom side of the bottom checkerboard are provided with black frames, the black frames are connected with the checkerboard small grid of the side checkerboard; and the bottom checkerboard is provided with four circular calibration points. The present application reduces the requirement for image quality, and improves the operation precision and operation efficiency of panoramic camera calibration.

The present application belongs to the technical field of computer vision, and discloses a mine car safety detection method based on multi-camera linkage, and the specific technical scheme is: six modules including a video data acquisition module, a data preprocessing module, a mine car safety behavior detection module, a multi-camera linkage module, an audible and visual voice alarm module and a data transmission module, and the six modules work cooperatively to realize efficient tracking of the mine car, the present application realizes mine car safety detection based on multi-camera linkage tracking, through installation of multiple cameras and realization of linkage, the mine car and the surrounding environment can be monitored in real time, the running state of the mine car and the surrounding situation are monitored, abnormal conditions are found in time, and thus the risk of accidents is greatly reduced; through real-time monitoring and analysis of the behavior mode of the mine car, potential safety hazards can be quickly identified, once an emergency occurs, the system immediately notifies relevant personnel, emergency measures are taken in time, and the safety of mine operation is improved.

The utility model discloses an endoscopic department specimen fixing all-in-one machine, which relates to the technical field of medical supplies and comprises an all-in-one machine outer box body, a rectangular slide way is fixedly connected to the middle of the upper part of the all-in-one machine outer box body, at least three clamping grooves are formed in the inner wall of the right side of the rectangular slide way, and a pushing assembly is arranged in the rectangular slide way. Two second sliding strips are fixedly connected to the inner bottom surface of the all-in-one machine outer box body, a temporary specimen storage frame is arranged between the two second sliding strips, a specimen input port is formed in the upper portion of the left side of the all-in-one machine outer box body in a penetrating mode, and two first sliding strips are fixedly connected to the upper portion of the interior of the all-in-one machine outer box body; and a specimen placing plate is connected between the two first sliding strips in a sliding manner. The device has the advantages that specimen photographing, image recognition, cover closing of the specimen embedding and fixing box and fixing operation are integrated, manual operation steps are reduced, the specimen processing efficiency is improved, the working intensity of medical staff is reduced, meanwhile, the data recording speed can be increased, and the treatment progress of a patient is prevented from being affected.

The invention provides a photovoltaic power generation power prediction method, system and device based on improved SVR and a medium, and the method comprises the following steps: collecting historical data of photovoltaic power generation power, and carrying out the preprocessing; performing feature screening on the preprocessed data to obtain a historical data key feature set; performing prediction based on the historical data key feature set in the SVR model to obtain an initial prediction value, and performing time granularity mean residual feedback on the initial prediction value to obtain correction feedback; on the basis of an improved sparrow search algorithm and correction feedback, the SVR model is optimized, and a TGRF-ISSA-SVR prediction model is obtained; performing photovoltaic power generation power prediction based on the TGRF-ISSA-SVR prediction model to obtain an actual photovoltaic power generation power prediction value; according to the method, the operation speed and precision of the algorithm are improved, the use of clean energy by the building is facilitated, and the technical problems of complex photovoltaic power generation efficiency prediction process and low efficiency in the prior art are solved.

The present application provides a method, device and computer system for detecting anomalies in traffic water scenes. The target scene anomaly detection network is obtained based on multi-level transfer learning. The computing efficiency and accuracy of the target scene anomaly detection network obtained in this way are enhanced, and the accuracy of scene anomaly detection can be effectively improved. Transfer learning includes multiple levels. The water scene image template library includes an unlabeled water scene image template library without real category labels and a labeled water scene image template library with real category labels. Different levels load one of the water scene image template libraries for debugging, and use the execution results of the control neural network as constraint information to optimize the network parameters of the scene anomaly detection network to be trained, so as to realize the debugging of the first-level network transfer learning; this level can improve the universality of the network based on a large number of unlabeled water scene image templates, and the reasoning accuracy is higher.

The utility model provides a programmed cooling instrument standard sample temperature probe fixing device which comprises a base, a stand column, an adjusting rod, a first adjusting knob, a second adjusting knob, a rotatable clamp, a freezing-resistant rubber ring, a rubber ring fixing groove, a rotating shaft and an anti-skid rubber sheet, the stand column is connected with the base, and the adjusting rod is arranged on the stand column through the first adjusting knob and can be adjusted up and down. The rotatable clamp is connected with the adjusting rod through the rotating shaft, the tightness of the rotatable clamp is adjusted through the second adjusting knob, the anti-skid rubber sheet is fixed in the rotatable clamp, the rubber ring fixing groove is formed in the base and used for fixing the jelly-resistant rubber rings, and the standard sample is placed between the jelly-resistant rubber rings. The device can be used for monitoring the temperature change of the standard sample in the cooling process of the programmed cooling instrument, does not need repeated calibration, and is suitable for standard samples of various specifications and probes of different types. The risk that the probe collides with the wall and touches the bottom in the cell carrier due to the fact that the probe cannot be fixed is eliminated, and the operation accuracy is improved.

The present disclosure relates to a computing device, wherein the computing device may be included in a combined processing device, and the combined processing device may also include a universal interconnection interface and other processing devices. The computing device interacts with other processing devices to jointly complete a computing operation specified by a user. The combined processing device may also include a storage device, which is connected to the computing device and other processing devices respectively, and is used for data of the computing device and other processing devices. The present disclosure can improve the computing accuracy without sacrificing computing speed under the constraint of fixed bandwidth.

The invention discloses a gain determination method and unit and an FFT circuit, the gain determination method is used for determining the gain of each stage of input data in the FFT operation circuit during butterfly operation so as to reduce the butterfly operation result according to the gain, and the method comprises the following steps: obtaining the group power of each group of input data in each stage of butterfly operation according to the first stage of input data, determining the maximum group power of the jth-stage butterfly operation as the stage power of the jth stage; determining the gain of the jth stage according to the stage power of the jth stage and a preset gain determination formula; the gain determination formula is used for identifying whether each group of input data in the jth-level input data has an overflow risk or not after the butterfly operation is carried out on each group of input data. The frequency of signal attenuation in the calculation process can be reduced as much as possible under the condition that no overflow risk exists in butterfly calculation, the calculation precision of FFT is improved, and then the signal-to-noise ratio of an output frequency spectrum is remarkably improved.

The utility model relates to the technical field of mechanical engineering, and discloses a linear guide device of a reciprocating compressor. The linear guide device of the reciprocating compressor comprises a first shell, a second shell, a guide sleeve, an air cylinder, an air inlet, a fastening bolt, a fixing hole, a piston rod, a connecting piece, a first fastening piece, a piston, a positioning hole, a sealing ring, a rear cover, a second fastening piece, a positioning rod and a motor. The guide sleeve is fixedly connected to the interior of the second shell, the air cylinder is fixedly connected to the interior of the second shell, and the air inlet is fixedly connected to the upper end of the first shell. According to the linear guide device of the reciprocating compressor, the motor directly drives the piston rod, efficient power conversion and transmission are ensured, the overall energy efficiency is improved, the guide sleeve accurately guides linear motion of the piston rod, motion errors are reduced, and the operation precision of the device is improved.