11results about How to "Reduce hardware requirements" patented technology

The invention is suitable for the technical field of vehicle dynamics modeling and control, and provides a preview active suspension stiffness control method based on road surface grading and MAP mapping, and the method comprises the steps: collecting a road image through a vehicle-mounted visual sensor, dividing regions, and recognizing the road surface unevenness grade of each region through a convolutional neural network; obtaining the vehicle speed; and according to the current pavement grade and the vehicle speed, a vehicle speed-pavement grade-rigidity mapping MAP table generated in advance is inquired, and the target suspension rigidity is rapidly obtained and adjusted. According to the invention, the dependence on a high-precision sensor and a high-computing-power processor is reduced, and low-cost and fast-response rigidity optimization control of the preview active suspension is realized.

The application discloses a kind of based on spot image moment feature telescope primary and secondary mirror calibration method, belong to telescope computer-aided alignment field.The specific steps of the calibration method are as follows, first, randomly give the free degree misadjustment of telescope system secondary mirror, utilize unbiased finite impulse response moment to extract the spot image feature of multiple field of view within reasonable range under the misadjustment state of telescope;Then utilize fully connected neural network to construct the model between the free degree misadjustment of secondary mirror and the multiple field of view spot image feature matrix;In actual use, after the multiple field of view spot image collected by CCD camera is extracted into feature matrix using unbiased finite impulse response, it is input into the trained neural network model to solve the misadjustment of secondary mirror, to guide the alignment of telescope system.This method aims to wavefront sensor as the image quality evaluation benchmark of telescope without, and without multiple iterations, to improve the efficiency of system primary and secondary mirror alignment and the imaging quality of system.

The invention provides an airfoil profile streaming flow field rapid prediction method based on a Fourier neural operator, and belongs to the field of intelligent fluid mechanics. According to the method, machine learning and computational fluid mechanics are deeply fused, the future flow field state is rapidly predicted through a series of input and output data, and the calculation efficiency of the method is far higher than that of a traditional numerical method. According to the method, the calculation task of several hours or even several days of traditional computational fluid mechanics simulation can be shortened to the second level, the optimization iteration period of aircraft appearance design is greatly accelerated, and the dependence and cost of research and development on wind tunnel tests and high-performance calculation are remarkably reduced.

Embodiments of the present application provide an electric safety belt control method and device, electronic equipment and storage medium. The domain controller obtains the action information of the target scene for the electric safety belt controller, generates the corresponding action instruction according to the action information, and transmits the action instruction to the electric safety belt controller through the hard line. After that, the control result is obtained based on the received state information of the electric safety belt controller. Based on the above method, data transmission is carried out through the hard line between the domain controller and the electric safety belt controller. On the one hand, the additional consumption of human resources and hardware resources caused by the high development complexity during the development of the CAN bus is avoided. On the other hand, the bus transceiver required for logical conversion is cancelled, further reducing the hardware requirements for data transmission.

The invention discloses a method for realizing system hotspot account processing. The method comprises the following steps: receiving a transaction request for a target account; counting the access frequency, and dynamically identifying whether the target account is a hotspot account or not; when the target account is identified as a hotspot account, executing an atomic accumulation operation on a balance change increment value corresponding to the target account in the distributed cache, performing real-time balance verification based on an accumulation result and a pre-stored account reference balance, and returning a transaction processing success response after the verification is passed; the method comprises the following steps of: atomizing and acquiring an accumulated change increment value of each hotspot account from a distributed cache through a timed scheduling task, clearing the accumulated change increment value, and generating a batch updating instruction based on the acquired accumulated change increment value; and executing the batch update instruction in the database transaction. The computing load of high-frequency transactions is transferred from a database to a high-performance memory, so that the transaction processing capacity of the system is improved by magnitude, the response delay is reduced from the second level to the millisecond level, and the high-concurrency real-time scene is met.

The invention relates to the technical field of intelligent recognition, in particular to a voiceprint-based vehicle load variation recognition method and system, and the method comprises the following steps: collecting sound signals generated when a vehicle passes through a deceleration strip when the vehicle is driven into and out of a specific place, a driving-in sound signal and a driving-out sound signal of the same vehicle are associated in combination with license plate recognition; the collected sound signals are preprocessed; extracting a time domain feature, a frequency domain feature and a time-frequency domain feature of the preprocessed sound signal; on the basis of the extracted features, feature vectors of the driving-in sound signal and the driving-out sound signal are generated respectively; and calculating the Euclidean distance between the feature vectors of the driving-in sound signal and the driving-out sound signal by adopting an Euclidean distance multi-scale entropy algorithm, and judging whether the load of the vehicle varies or not according to the Euclidean distance in combination with the driving speed of the vehicle. By adopting the method, the vehicle load variation can be effectively identified, and the method has the characteristics of low deployment cost and high robustness.

This application provides a receiver image compensation method and system without a training sequence, relating to the field of wireless communication technology. After obtaining the intermediate frequency (IF) signal and its conjugate signal, the method calculates image coefficients based on the correlation between the IF signal and the conjugate signal, then synthesizes an image compensation matrix according to the image coefficients, and finally uses the image compensation matrix for image compensation. The method can analyze random spatial radiation signals received by the receiver in free space, utilizing the conjugate relationship between the image signal and the main signal, and obtaining the image compensation coefficients through the conjugate correlation of the IF signal. This method can analyze the image coefficients without a dedicated training sequence, reducing the complexity and hardware requirements of image compensation.

The application discloses a mechanical structure of a flexible power-assisted exoskeleton system and a control method thereof, and the mechanical structure comprises an actuating unit box, a driving device, a main controller, a power module, an intention detection component and a power-assisted unit; the body function of a user can be enhanced under different environments, including climbing, crawling, going upstairs and downstairs; the control method is characterized in that an inertial measurement unit is fixed on each main limb of the human body, and the real-time measured limb posture data are transmitted to the main controller; the main controller performs mean filtering and preprocessing on the data, so that the credibility of the data is enhanced; the main controller obtains the corresponding human motion phase according to the posture analysis of different human motions; finally, the main controller sends a driving signal to the driving device according to a preset power-assisted strategy, and the motor rotates according to the signal, so that power assistance is achieved. The application has the advantages of simple algorithm, high real-time performance, strong stability, low hardware cost, low hardware demand and easy engineering application implementation.

This invention discloses a distributed beamforming method, system, and apparatus for low-Earth orbit satellites, comprising: acquiring ground user location information and satellites to be communicated with; calculating the transmission paths between multiple satellites and ground users and obtaining the superimposed signal of electromagnetic waves at the ground end; calculating the superimposed power distribution of the ground electromagnetic waves based on the superimposed signal; constructing an objective function that maximizes the average received power of all ground users and the fairness of ground users based on the calculated superimposed power distribution of the ground electromagnetic waves; calculating the optimal satellite and its corresponding initial transmission phase within the selectable set, indirectly controlling the transmission distance from the satellite to the ground end to control the final phase of the electromagnetic waves received by the receiver, thereby maximizing the overall power gain of multiple ground receiving terminals and the fairness among each individual ground user, providing ideal power gain regardless of the location of the ground user, and simultaneously covering multiple users.

The application discloses a kind of electric toothbrush control method and system based on multi-sensor adaptive weighting fusion, its method includes: posture, pressure, spectrum and acoustic data are synchronously collected;After pre-processing and feature extraction, the evidence of multi-sensor is fused using D-S evidence theory, and the regional confidence distribution and behavior mode label are output;Combining reliability factor and the context factor determined by behavior mode, dynamically generate weighting coefficient, weight and fuse multi-source features, obtain comprehensive cleanliness estimate and fused spectrum characteristics;Based on spectrum characteristics, calculate plaque index, based on acoustic characteristics, calculate brushing efficiency score;With plaque index, brushing efficiency score and pressure safety threshold as constraint, establish multi-objective optimization function, solve optimal vibration frequency and amplitude in real time, realize closed-loop control, with the advantages of strong anti-interference, personalized adaptation and the like.

The application belongs to the technical field of optical fiber measurement, and provides a phase modulator half-wave voltage measuring device and method based on wavelength scanning, which comprises a tunable laser source module (1), a measuring module (2), an intensity correction module (3) and a signal acquisition and analysis module (4). The tunable laser (101) outputs linear frequency modulation continuous light (102), is injected into a Mach-Zehnder interferometer containing a phase modulator (204) and an internal modulation frequency shift unit (206), frequency shift of beat interference signals is realized by using an elongated optical fiber (206b), and finally the half-wave voltage is calculated through the beat main peak and sideband amplitude ratio. The application realizes heterodyne interference measurement of the phase modulator by using sweep laser, the half-wave voltage change in the working wavelength range can be obtained by single measurement, the test efficiency is high, the operation is simple, and the compatibility is strong.