14results about How to "Improve design and development efficiency" patented technology

The invention discloses a modular multi-size cubesat attitude control integrated system suitable for batch production, and relates to the technical field of satellites. Comprising a structural unit, an attitude monitoring subsystem, an attitude control subsystem, a data processing subsystem, a data transmission communication subsystem and a power supply subsystem, and the five subsystems are installed on the structural unit. The structural unit is a hollow hexahedron composed of six mounting plates; the attitude monitoring subsystem is electrically connected with the power supply subsystem and is also connected with the data processing subsystem through a signal line; the attitude control subsystem is electrically connected with the power supply subsystem and is also connected with the data processing subsystem through a signal line; the data processing subsystem is electrically connected with the power supply subsystem and is also connected with the data transmission communication subsystem and the power supply subsystem through signal lines; the data transmission communication subsystem is electrically connected with the power supply subsystem. The system has the advantages of being short in development and final assembly period, light in structure, unified in interface, multiple in function, good in expandability, capable of being used in a multi-size compatible mode and suitable for batch production.

The application discloses an excitation automatic generation method and system and a computer readable medium, and relates to the technical field of electronic design. The method comprises the following steps: based on a pre-acquired test case file, a target test case is acquired from a plurality of pre-stored test cases; case key information of the target test case is acquired, and the case key information is used for representing basic signals to be simulated by the target test case; and based on the case key information, an excitation signal is generated. Therefore, in the face of different target test cases, a control excitation signal with a unified style is automatically generated based on the case key information of the target test case, thereby reducing the dependence of cases on manual checking of logic functions and manual writing of excitations for the functions, and improving the design and development efficiency of integrated circuits.

The present invention relates to the technical field of automobile structural design optimization methods, and specifically refers to a trunk lid bent tube hinge axis arrangement calculation optimization method. According to the rear modeling CAS surface, as well as known design parameters and set constraints, the trunk lid initial opening θ0 and the hinge axis initial coordinate f0 are set; a hinge optimization area is constructed, and within the hinge optimization area, the trunk lid initial opening θ0 and the hinge axis initial coordinate f0 are calculated based on the hinge span design requirements, human-machine goals, the safety gap of the hinge relative to the sealing strip movement, the safety gap requirements of the trunk lid and the rear windshield during the opening process, the assembly space distance between the hinge axis and the rear windshield, and the trunk lid closing force requirements to obtain the optimal solution for the hinge axis. The optimization method of the present invention is reasonably designed, with rich considerations, avoiding the risk of repeated modifications in the later stage, improving the efficiency of the hinge axis design and development, and has great promotion value.

This invention provides a vehicle forward structural design method, system, electronic device, and storage medium. The vehicle forward structural design method includes the following steps: S1: Constructing the F-S curve for a side pole collision of the vehicle; S2: Designing the corresponding structural components of the vehicle based on the F-S curve to obtain the force transmission path and structure-related data of the corresponding structural components; S3: Using the force transmission path and structure-related data of the corresponding structural components, performing finite element modeling, conducting simulation analysis of the side pole collision safety, and evaluating whether the intrusion displacement S1 along the force transmission path of the corresponding structural component obtained from the simulation analysis meets the preset intrusion displacement S requirement. If it meets the requirement, the vehicle structural design is completed; if it does not meet the requirement, returning to S1 and re-executing S1-S3. This invention enables accurate completion of vehicle structural design under the guidance of the theoretical F-S curve of a side pole collision.

The present invention provides a method and computing device for extracting chip power consumption evaluation waveforms. A power consumption detection component is designed by detecting the effective flipping of a module interface. The method includes: loading an integrated power consumption detection component in a simulation environment, wherein the power consumption detection component is implemented based on the effective flipping judgment information of the module interface of the chip; running the simulation environment to simulate power consumption scenarios, and obtaining a predetermined signal flipping rate threshold of the module interface at a power consumption evaluation waveform time point through the power consumption detection component; storing the predetermined signal flipping rate threshold as a configuration item in a corresponding test case for power consumption simulation; and automatically extracting the power consumption evaluation waveform of the test case in subsequent simulations according to the predetermined signal flipping rate threshold. The technical solution according to the present invention can realize automatic acquisition of power consumption waveforms and improve power consumption evaluation efficiency.

The utility model discloses an embedded key logic implementation circuit, which relates to the field of key control and comprises a first switch SW1, a second switch SW2 and a third switch SW3, and the first switch SW1 and the second switch SW2 are connected in parallel. According to the embedded key logic implementation circuit, the product cost is reduced by reducing product structure, circuit and process negative complexity, improving design and research and development efficiency, shortening the research and development period, reducing the number of keys and auxiliary circuits for the keys and reducing consumption of electronic elements, connection with a controller can be achieved only through at least one IO, and the embedded key logic implementation circuit is simple in structure, convenient to use and high in practicability. The interface resource demand of the controller is reduced, more controller models can be selected, software only needs fewer resources to judge the key state change, the software overhead when no key is pressed down is reduced, the software efficiency is improved, meanwhile, input data can only be selected in an effective range, the problem of system abnormity caused by input of invalid data is avoided, and the user experience is improved. The product stability is improved.

The application discloses a kind of three-dimensional woven composite reverse design methods based on generative adversarial neural network, comprising: selecting three-dimensional woven composite sample of different process structure by hyper-latin sampling;Python script simultaneously TexGen textile modeling software generates three-dimensional woven composite cell model and imports Abaqus to calculate material mechanics performance;The process structure of three-dimensional woven composite is normalized coding combined with material mechanics performance as data set, training generative adversarial neural network and passing through bayesian optimization hyperparameter.The application can improve the design and development efficiency of three-dimensional woven composite by more than 50% by mapping between three-dimensional woven composite process parameters and mechanics performance of the generative adversarial neural network model, improve the structure design accuracy and performance prediction accuracy of three-dimensional woven composite.

The present application discloses a method and device for predicting the natural fundamental frequency of a dry-type air-core reactor, the method comprising obtaining first parameter information about the reactor coil and second parameter information about the support system; establishing a beam unit model about the support system according to the second parameter information, and calculating the first lateral displacement stiffness of the beam unit model; calculating the total lateral displacement stiffness of the support system according to the first lateral displacement stiffness; adjusting the total lateral displacement stiffness according to the first parameter information and the second parameter information, and calculating the natural fundamental frequency. The technical solution provided in the embodiment of the present invention obtains parameter information about the reactor coil and the support system, and calculates the total lateral displacement stiffness of the support system based on the information, and outputs the natural fundamental frequency of the reactor equipment by further correcting the coil mass and the total lateral displacement stiffness, thereby ensuring that the structural dynamic characteristics of the reactor equipment are evaluated in the scheme design stage, assisting in guiding the design and selection of the support system, and improving the design and development efficiency.

The present invention discloses a chip atomic clock stability optimization method and system based on machine learning. The method comprises: acquiring data information of the chip atomic clock; setting a frequency stability measurement model of the chip atomic clock, a phase noise measurement model of the chip atomic clock, a temperature sensitivity measurement model of the chip atomic clock and an aging effect measurement model of the chip atomic clock, and respectively calculating the frequency stability measurement index, the phase noise measurement index, the temperature sensitivity measurement index and the aging effect measurement index of the chip atomic clock according to the data information; setting a comprehensive stability measurement model of the chip atomic clock, calculating the comprehensive stability measurement index according to the frequency stability measurement index, the phase noise measurement index, the temperature sensitivity measurement index and the aging effect measurement index, fitting the comprehensive stability measurement model of the chip atomic clock so that the comprehensive stability measurement index is closest to a preset optimal stability index, thereby completing the stability optimization of the chip atomic clock.

The present invention discloses a durability verification method for a composite transmission reducer of a new energy vehicle, comprising the following steps: Step 1, obtaining a gear pair in the composite transmission reducer, wherein the gear pair comprises a driven gear made of 20CrMnTi and an active gear made of PEEK material; Step 2, according to the parameters of each pair of gear pairs, the Maugis-Dugdale contact theory is used to calculate the contact stress, thereby performing strength verification; Step 3, after meeting the strength verification requirements, according to the three-parallel-axis two-stage gear transmission configuration, it is integrated into a set of composite transmission reducers, and the integrated reducer is reliably and durablely verified. This method solves the problem that the prior art method is not suitable for reliable and durable design verification of steel / polymer gear composite transmission devices.

The utility model discloses a metasurface lens testing tool. The metasurface lens testing tool comprises a testing carrier plate, a lens clamp and a CCD calibration assembly. The lens clamp is assembled on the test carrier plate, the lens clamp comprises a base and a cover plate which are matched with each other, the base is provided with a lens mounting groove, the groove bottom of the lens mounting groove is provided with a first diaphragm hole, and the cover plate is provided with a second diaphragm hole; the CCD calibration assembly is used for calibrating the first diaphragm hole and enabling the pattern center of the lens, the second diaphragm hole and the first diaphragm hole to be aligned. The state of the metasurface lens in the optical system is simulated through the lens clamp, the CCD calibration assembly is used for calibrating the first diaphragm hole in the base, then the pattern center of the metasurface lens and the second diaphragm hole in the cover plate are aligned with the first diaphragm hole, and therefore the metasurface lens can be accurately calibrated under the condition that the whole optical system does not need to be integrally assembled. Therefore, the optical performance of the metasurface lens can be tested.

The invention provides a virtual detection method and system for a steering column with an intermediate shaft assembly, and relates to the technical field of automobile design, and the method comprises the steps: building a parameterized model of the steering column with the intermediate shaft assembly; sequentially carrying out intermediate shaft torque fluctuation detection, intermediate shaft envelope detection and model motion envelope detection on the built steering column with intermediate shaft assembly parameterized model; wherein the construction of the parameterized model of the steering column with the intermediate shaft assembly comprises the following steps: determining the initial position of each hard point in the steering column with the intermediate shaft assembly, and obtaining the coordinate of each hard point; generating a hard point design table based on parameterized design, building a simplified boundary model of the steering column with the intermediate shaft assembly, and associating the simplified boundary model with the hard point design table; and establishing a moving part operation command, and a movement track and an envelope type of each movement, and completing the establishment of the parameterized model of the steering column with the intermediate shaft assembly. The development and design efficiency of the steering column with the intermediate shaft assembly can be improved.

The invention provides a chip simulation acceleration method and device, electronic equipment and a storage medium, when a simulation program executes memory operation, the simulation program transmits parameters, types and to-be-operated data required by the operation to an executive program, the executive program completes the memory operation, and the executive program is independent of the simulation program and is not used for chip simulation, so that the memory operation is accelerated. According to the method, the real instruction execution process of the SOC does not need to be simulated, the memory operation can be directly carried out, the memory operation process in a simulation environment in the prior art is skipped, and the chip development and design efficiency is improved.

This invention relates to the field of tunnel boring machine (TBM) design technology and discloses a tool layout method for a circular cutterhead of a TBM. The method includes: constructing a mathematical model of tool layout incorporating cutting force data from a CSM model; determining the optimization objective and constraints for minimizing eccentric force and eccentric moment; initializing a gray wolf population by mapping discrete permutations to continuous vectors using a continuous encoding strategy and calculating fitness values; executing a global iteration of the gray wolf optimization algorithm, using social hierarchy to guide population updates; embedding a tabu search strategy in the global iteration to perform local neighborhood search on the optimal individual to generate and selectively replace the optimal solution; and finally outputting the tool layout scheme and verifying its feasibility. This invention effectively solves the problem of tool layout easily getting trapped in local optima through the synergistic cooperation of the gray wolf algorithm and tabu search, improving the mechanical balance and solution efficiency of the cutterhead design, and reducing design and production costs.