38results about How to "Reduce implementation complexity" patented technology

The invention discloses a thermal management method and device of a brake disc, computer equipment and a storage medium. The thermal management method of the brake disc comprises the steps that a whole vehicle fluid mechanics model is used for calculating convective heat transfer coefficients of all positions on the brake disc at the current vehicle braking moment; obtaining the temperature of each position on the brake disc at the current vehicle braking moment and the vehicle speed at the current vehicle braking moment; according to the convective heat transfer coefficient and the temperature of each position on the brake disc and the vehicle speed of the vehicle, the temperature variation of each position on the brake disc is calculated; predicting a temperature peak value on the brake disc at the next moment according to the temperature variation and the temperature of each position on the brake disc; and when the temperature peak value on the brake disc at the next moment does not meet the preset temperature condition, a cooling system of the vehicle is controlled to cool the brake disc till the temperature peak value on the brake disc meets the preset temperature condition. According to the method, the heat dissipation effect of the brake disc is enhanced.

The invention discloses a hardware security vulnerability knowledge graph-assisted Verilog security code generation method and device, and the method comprises the steps: firstly decomposing a hardware code generation task into a plurality of subtasks according to the natural language description of the hardware code generation task inputted by a user, and extracting signals, state conversion and circuit code examples; secondly, acquiring hardware security vulnerability data, and constructing a hardware vulnerability security knowledge graph from top to bottom; and then generating Verilog codes according to natural language description, signals, state transition and circuit code examples of the subtasks. And finally, based on the hardware vulnerability security knowledge graph, performing security vulnerability detection on the Verilog code and repairing security vulnerabilities to generate a secure Verilog code. According to the method, the hardware code generation efficiency and safety are improved, meanwhile, flexibility and expansibility are achieved, and implementation complexity is reduced.

The invention discloses a preamble generation method, a receiving method, a system, equipment and a medium. The generation method comprises the following steps: acquiring a plurality of first short symbols and a plurality of second short symbols; the energy of the first short symbol is different from that of the second short symbol; arranging the plurality of first short symbols and the plurality of second short symbols in a staggered manner to obtain a short training sequence; a preamble is generated based on the short training sequence. The receiving method comprises the following steps: receiving lead codes, performing cross-correlation operation on adjacent first short symbols in a plurality of first short symbols in each lead code, and summing all obtained cross-correlation operation results to obtain a first value; summing the energy of all second short symbols in a plurality of second short symbols in each lead code to obtain a second value; and when the ratio of the first value to the second value is greater than a preset threshold, determining that the frame header of the signal is detected. According to the invention, the number of OFDM transmission subcarriers, the data rate signal capture success rate, and the performance and robustness of time-frequency synchronization under the condition of low signal-to-noise ratio are improved.

The application discloses a bidirectional hill holding control method and device, a wheeled electric engineering vehicle and a storage medium, and relates to the technical field of vehicle control. The method comprises the following steps: when it is determined that the current vehicle is in a hill driving state according to first state information of the current vehicle, the slope value of the road where the current vehicle is located is determined; when it is determined that hill holding needs to be triggered according to second state information of the current vehicle, third state information of the current vehicle is acquired; the requested torque of the driving motor of the current vehicle is determined according to the third state information of the current vehicle and the slope value, and the driving motor is controlled to output the requested torque, so as to realize bidirectional hill holding. The technical scheme provided by the application can reduce the cost of identifying whether the vehicle is on a hill and the implementation complexity of bidirectional hill holding, and improves the experience of users using the wheeled electric engineering vehicle.

The application discloses a Spike-BP on-chip learning method and system based on a Ca-LIF neuron model and a processor, wherein a trainable linear leakage parameter and a positive and negative double-channel pulse transmitter mechanism based on calcium gating are adopted; for the Ca-LIF neuron model, a linear leakage operation can be realized only by subtraction, complex leakage compensation operations can be avoided when a gradient matrix is solved, hardware implementation complexity is reduced, a large amount of calculation resources of subsequent hardware design is saved, and the performance of pulse neural network training is improved.

The invention discloses a cold station control method, device and equipment and a medium. The cold station control method comprises the following steps: acquiring digital twin data of a target cold station; determining an available control logic deployment terminal based on the target cold station digital twin data; and deploying the cold station control logic to the available control logic deployment terminal according to the cold station control logic instance and the control logic allocation priority. According to the technical scheme provided by the embodiment of the invention, the cold station control logic can be reasonably distributed, the stability of a cold station system is effectively improved, and the project implementation complexity is reduced.

The present application relates to air conditioner detection technical field, propose a kind of air conditioner electrolytic capacitor health on-line detection method and system, the air conditioner electrolytic capacitor health on-line detection method includes collecting the voltage ripple signal of DC-DC step-down converter output in air conditioner, and detects the zero-crossing time of first time through direct current average voltage in a switching cycle, obtains first zero-crossing time;At the switching on starting moment or switching off moment of switching cycle, single sampling is carried out to output voltage ripple signal, and sampling voltage value is obtained;According to the running state of DC-DC step-down converter, it is judged that DC-DC step-down converter is currently in continuous conduction mode or discontinuous conduction mode;Based on the judgment result, corresponding capacitor parameter calculation model is selected, and the capacitance value and equivalent series resistance of output capacitor are calculated;The capacitance value and equivalent series resistance calculated are compared with preset threshold value, and if exceed threshold value, then trigger capacitor health state early warning.

The invention relates to a scene-oriented multispectral and infrared bimodal camouflage figure decision-making system, and belongs to the technical field of multisource information perception and intelligent decision-making. The system comprises an unmanned aerial vehicle carrying platform, a bimodal imaging unit, a data processing and communication unit and a ground calculation and decision unit. The bimodal imaging unit synchronously acquires a target area image through an infrared camera and a spectrum camera; the data processing unit preprocesses and transmits the image; the ground calculation and decision-making unit comprises a data set construction module, a bimodal target detection module, an image registration module, a self-adaptive decision-making module and a decision-making fusion module. The system calculates a homography matrix based on the flight height to realize image registration, adaptively selects a decision path according to a light intensity parameter, and outputs a detection result through intersection-to-union ratio matching and weighted fusion. Through a system-level architecture and a formulation decision-making mechanism, the accuracy and robustness of camouflage figure detection in a complex environment are improved, and the method is suitable for unmanned aerial vehicle platform deployment.

The invention provides a trusted user identity system construction method and business system, and the method comprises the steps: constructing a block chain network of trusted identity, deploying an intelligent contract of identity management on the block chain network, and defining an on-chain two-dimensional relation table of an identity management application based on an on-chain two-dimensional relation table of the block chain network; and constructing a cross-organization available user system on the block chain network. According to the method, when the two-dimensional relation table on the chain is used for performing management such as addition, modification, query and deletion on the institution certificate, the personal digital identity and the personal credible identity certificate on the chain, quick retrieval positioning and processing can be performed based on the characteristics of the two-dimensional relation table, so that the technical implementation complexity is remarkably reduced, and meanwhile, the processing efficiency is improved.

The application discloses a kind of digital warm pump parameter calculation system and method without sensing, belong to parameter calculation technical field, its method specifically includes: obtaining the electric operating parameter in current control period and the inherent characteristic parameter of pump body, constructs pump end energy balance model, and inherent characteristic parameter is mapped as the dynamic pump characteristic surface corresponding to current speed, and the first virtual flow value and the first virtual lift value are obtained by inversion, and input pre-established warm pipe network digital impedance model, calculate to obtain second virtual lift value, and generate pipe network impedance correction according to the deviation between first virtual lift value and second virtual lift value, and the output parameter of warm pipe network digital impedance model is iterated and updated, and when deviation meets preset convergence condition, the parameter without sensing corresponding to current control period is output;The application reduces the influence of relevant interference fluctuation on parameter calculation without sensing, and reduces the interference of single sampling point anomaly or local calculation deviation on output parameter.

The invention relates to the field of wind power generation, in particular to a wind turbine generator yaw static error correction method and system based on a multi-beam laser radar. The method comprises the following steps: S1, scanning a wind field area in front of an impeller of a generator set through a multi-beam wind measurement laser radar mounted in a cabin of the wind turbine generator set to obtain parameter information of a plurality of spatial points; s2, performing fitting calculation on the parameter information system to obtain a fitting circle representing a horizontal wind vector of the wind field area, and solving the fitting circle to obtain a free flow wind direction; s3, the free flow wind direction is compared with the current cabin orientation, and a real-time static yaw error angle is obtained through calculation; generating a yaw control instruction according to a preset control strategy; s5, solving and calculating the fitting circle to obtain a transverse wind component, and correcting the yaw control instruction; according to the method, the control instruction is generated through the control strategy to drive the yaw system to perform dynamic compensation, so that the wind turbine generator can continuously maintain the optimal windward attitude, and the stability and long-term effectiveness of control are ensured.

The application discloses a service request processing method and device, electronic equipment and a storage medium. The method creates an independent counting unit for each time window, and destroys the counting unit associated with the target time window if the life cycle of the time window ends. In this way, the service requests of a preset type in each time window can be counted independently, and only the number of service requests of the preset type needs to be accumulated, without performing the complex and error-prone deduction operation in the conventional technology. On the one hand, since the data deduction operation is saved, the implementation complexity and performance overhead of the system are reduced, and the stability and reliability of the system are enhanced. On the other hand, in a high-concurrency environment, the system only needs to process the number accumulation process of the service requests of the preset type, reduces the competition for resources of the data accumulation and data deduction processes, and improves the accuracy of the counting result and the system state determination.

The application relates to a carry chain delay tuning method and device of a field programmable logic gate array, and belongs to the technical field of time-to-digital conversion. In view of the problem that the large time interval difference of each tap of the carry chain leads to poor linearity of measurement, a delay chain is constructed by cascading multiple-stage carry chain unit stages, the output of the previous stage is simultaneously guided to the first input end with a small delay and the second input end with a large delay of the next stage; calibration measurement is carried out by taking the full second delay path as an initial structure; according to the delay parameter, the input path of the time interval deviation over-limit tap is switched to the first delay path to form a mixed delay chain. The application improves the tap distribution uniformity by dynamically adjusting the path selection parameter and the multi-stage register output selection adjustment, and is mainly applied to a high-precision time-to-digital converter and a measurement test system.

The application provides a self-organizing network SC-FDE waveform time-frequency diversity processing method, device and system and a storage medium, and relates to the technical field of wireless communication. By designing the unique word sequence of even time slots as the conjugate sequence of the unique word sequence of odd time slots, while keeping the same service data content carried by the odd and even time slots, time-frequency diversity can be realized under the condition of a single antenna, and double gains of anti-interference and anti-multipath can be obtained without increasing the number of antennas. The receiving end can share the multiplier to complete the correlation degree calculation in symbol synchronization, and share the frequency domain unique word sequence to complete channel estimation, thereby greatly improving the multiplexing rate of hardware resources, reducing the system implementation complexity and cost. The receiving end frame demodulation logic adopts the mechanism of directly extracting time count information in odd time slots and automatically deriving in even time slots, thereby reducing the frequency of independent time count information in the frame structure, reducing the frame overhead, and improving the transmission efficiency.

The application discloses a fault detection device based on fast edge pulse frequency scanning, comprising: a digital code type generation module configured to generate a controllable square wave signal based on a preset fast edge pulse period; a delay line module configured to apply two different delay times to the controllable square wave signal to obtain two delay signals; a combination logic module configured to perform logic operation on the two delay signals to obtain a fast edge pulse signal; a signal shaping module configured to shape the fast edge pulse signal; a signal synthesis and distribution module for synthesizing the shaped signal; a collection and spectrum analysis module configured to obtain an input reference spectrum and an output spectrum; and an ADC data processing module configured to calculate a frequency response function based on the input reference spectrum and the output spectrum, and a host computer configured to obtain a fault condition of a measured system according to the spectrum result. The application effectively reduces the system hardware cost and implementation complexity while improving the frequency scanning capability.

This invention discloses a point cloud data correction method and related lidar, apparatus, program, and equipment. The method includes: determining the corrected field-of-view position information based on a pre-constructed temperature-distortion model, temperature data from the lidar receiving lens, and the field-of-view position information corresponding to the original measured point cloud data; and reconstructing three-dimensional point cloud data based on the corrected field-of-view position information and the point cloud data. This method enables real-time dynamic correction of the angle value of each laser ranging point during the online operation of the lidar. It eliminates nonlinear angle measurement errors introduced by temperature changes, especially the amplification of light rays at the edge of the field of view due to thermal expansion and contraction at large field-of-view angles, from the data source. It effectively suppresses the bending, twisting, or drifting of straight objects in the point cloud image at the edge of the field of view, thereby improving the point cloud output accuracy and coordinate reliability of the wide-angle blind-spot lidar under all temperature conditions.

The application discloses a light beam pointing stabilization method and system for free space optical communication of an airborne platform, and belongs to the technical field of free space optical communication, and comprises the following steps: acquiring error spectrum dominant band information based on light beam pointing error or tracking error characteristic quantities; constructing a directional shaping compensator based on the error spectrum dominant band information, and setting a shaping risk safety constraint mechanism; under the monitoring of the shaping risk safety constraint mechanism, combining the directional shaping compensator with a basic closed-loop controller to generate an actuator control quantity; outputting the actuator control quantity to correct the light beam pointing; wherein, in the process of executing the above combination step, when the shaping risk safety constraint mechanism monitors that a safety constraint triggering condition is met, a rollback action is performed on the directional shaping compensator, and the rollback action is released after a risk index returns to within a threshold value and a preset cooling time is met.

The application discloses a data processing method, device, equipment, medium and product, the method comprises the following steps: dividing the to-be-compressed data into fixed-bit-width symbols, and generating or updating a prior dictionary according to the symbol frequency of the to-be-compressed data; selecting a set number of symbols with the highest occurrence frequency from the prior dictionary as high-frequency symbols, and configuring an escape symbol, and constructing an encoding tree based on the high-frequency symbols and the escape symbol; encoding the to-be-compressed data according to the encoding tree, if the current symbol belongs to the high-frequency symbols, output the code word of the high-frequency symbol, otherwise, first output the code word of the escape symbol, and then output the fixed-bit-width binary representation of the current symbol, to obtain the target data after compression. The above technical features can support stream data processing while ensuring lossless compression, and can reduce the calculation overhead and implementation complexity by effectively utilizing the data distribution characteristics.

The application discloses a communication system based on an intelligent reflecting surface, and the system realizes wireless communication based on a D2D communication system, and the system comprises a UAV base station, cellular users, an intelligent reflecting surface comprising a plurality of reflecting elements, and a plurality of D2D user pairs; wherein a D2D user power allocation is expressed as a non-convex optimization problem; and the non-convex optimization problem is solved based on an SD3 algorithm. The application can learn the properties of the problem itself to improve the calculation efficiency, learn the common features of the problem in a training mode to directly deploy and test the trained model, and then with the aid of the parallel computing capability of a neural network, the model can give an optimization scheme in a very short time, and solve the large-dimension optimization problem of the D2D system assisted by the intelligent reflecting surface with a relatively low complexity.

The invention provides a multi-level power converter fault tolerance method, which comprises the following steps of: acquiring an output voltage, an inverter side current and a direct current side voltage, performing conversion, and performing PI modulation to obtain a modulation wave of a system; judging whether the system has a fault or not, and judging a specific fault-tolerant scheme according to the modulation degree of the modulation wave if the system has the fault; based on a fault-tolerant scheme, selecting an output state of a redundant vector of a non-fault phase; and based on the selected output state, generating a corresponding driving signal through carrier phase-shifting PWM (Pulse-Width Modulation). The multi-level hybrid topology can keep the same working state before and after the fault, the floating capacitor voltage and the direct current side capacitor voltage are stable, the fault response is rapid, the large-range fluctuation of the output voltage and the output current is avoided, the smooth switching of the working modes is ensured, and the fault tolerance of the system is improved.

The invention relates to a hybrid autonomous management method, program and device for an offshore heterogeneous unmanned cluster, and a storage medium, and belongs to the technical field of unmanned system cluster cooperative control. The system comprises an unmanned ship, an unmanned aerial vehicle and an underwater robot, nodes are divided into a core, an auxiliary core, a regional core and a common node according to physical and capability attributes, and a management module is arranged. The method comprises the following steps: electing a core node through random competition during initialization; during operation, distributed fault detection is performed through a heartbeat mechanism, and competition election or task takeover is triggered when nodes fail so as to realize rapid recovery; when the core nodes actively remove the nodes, the regional core nodes execute task migration and synchronization; node states are kept consistent with global synchronization through local updating and superior reporting. According to the method, adaptation of a framework and a physical platform is achieved, protocol lightweight is achieved, the method has the advantages of being flexible, extensible and high in robustness, and the real-time performance and the self-adaptive capacity of the offshore heterogeneous cluster in a complex environment are effectively improved.

The application discloses a kind of digital warm pump parameter calculation system and method without sensing, belong to parameter calculation technical field, its method specifically includes: obtaining the electric operating parameter in current control period and the inherent characteristic parameter of pump body, constructs pump end energy balance model, and inherent characteristic parameter is mapped as the dynamic pump characteristic surface corresponding to current speed, and the first virtual flow value and the first virtual lift value are obtained by inversion, and input pre-established warm pipe network digital impedance model, calculate to obtain second virtual lift value, and generate pipe network impedance correction according to the deviation between first virtual lift value and second virtual lift value, and the output parameter of warm pipe network digital impedance model is iterated and updated, and when deviation meets preset convergence condition, the parameter without sensing corresponding to current control period is output;The application reduces the influence of relevant interference fluctuation on parameter calculation without sensing, and reduces the interference of single sampling point anomaly or local calculation deviation on output parameter.

The present application relates to the technical field of database, in particular to a database incremental DDL synchronization method and device based on CDC and extended event fusion, the present application breaks through the limitation that traditional CDC can only capture limited DDL operation by CDC and extended event fusion, realizes all types of DDL capture such as creation, deletion and structure modification of core objects such as table and index by combining extended event, does not need to rely on third-party tools and manual operation, and greatly reduces the implementation complexity and error risk.

The application discloses a kind of high-frequency frequency domain characteristics and time-domain waveform high-precision prediction method and system of electromagnetic equipment system, including steps: (1) cable, electromagnetic equipment winding is divided into cascaded multi-conductor minimum unit;(2) establish cable, electromagnetic equipment winding high-precision multi-conductor minimum circuit unit model;(3) finite element simulation calculation parasitic parameter, setting minimum circuit unit model parameter;(4) the transmission matrix calculation of minimum circuit unit, cable, electromagnetic equipment winding system;(5) according to the connection form of electromagnetic equipment winding end and high-frequency characteristic measurement, calculate high-frequency frequency domain characteristics;(6) the spectrum analysis of inverter output PWM voltage, predict high-frequency time-domain waveform.The application can quickly and accurately predict the high-frequency frequency domain and time-domain characteristics of electromagnetic equipment system at the design stage or online operation, which is of great significance for improving the reliability of electromagnetic equipment system driven by power electronic converter.

The application discloses an implementation method for reducing the density of a QC-LDPC code generation matrix, and comprises QC_LDPC code check matrix full rank condition generation matrix solving, QC-LDPC code check matrix non-full rank condition generation matrix solving and density optimization, and a QC_LDPC code encoding process. The application solves the problem of high density of the existing QC-LDPC code generation matrix and existence of optimization space.

This application relates to the field of compilers, and in particular to a method for dynamically allocating caller-saved register storage space. Applied to the register allocation stage, it includes the following steps: obtaining the set of caller-saved registers that need to be saved at the current call point; obtaining the required storage space size N for the current call point based on the set of caller-saved registers; allocating a contiguous storage space of size N for this call by adjusting the stack pointer before generating the save instruction; writing the values ​​of the caller-saved registers that need to be saved at the current call point into the contiguous storage space of size N; executing the function call instruction; after the function call returns, restoring the values ​​of each caller-saved register written in the contiguous storage space of size N to the corresponding caller-saved register; and restoring the stack pointer to release the contiguous storage space of size N. This invention can solve the problems of stack space waste, high complexity, and susceptibility to errors.

This invention relates to a method and system for defending against backdoor attacks in federated learning, belonging to the field of information security. The method first performs data preprocessing operations on the terminal before executing local training, converting the data from the time domain to the frequency domain and designing a low-pass filter to filter high-frequency signals introduced by backdoor samples. Second, malicious uploads and updates are detected on the server side, the cosine similarity between the pre-global model and the local model is calculated, and an appropriate threshold is set to filter maliciously uploaded local model updates. Finally, a global aggregation operation is performed on the remaining non-malicious uploads and updates to obtain an updated global model, and differential privacy technology is used to perturb the obtained global model. This invention fully considers the scenario where backdoor attacks occur in different locations, mitigating backdoor attacks in federated learning without affecting the model's performance on benign data, thus solving the problem of backdoor attack defense in federated learning.

The application discloses a single-frame velocity deblurring method and device of FMCW radar, and belongs to the technical field of radar signal processing, the method comprises the following steps: selecting a continuous linear frequency modulation signal transmitted by a transmitting antenna; performing 2DFFT processing on a received echo signal to calculate a blurred velocity estimation value; performing fast time dimension 1DFFT processing on the echo signal to calculate a plurality of distance estimation values; performing linear fitting on all the distance estimation values to obtain a curve slope, which is a target velocity estimation value; using the target velocity estimation value obtained by the curve slope, the blurred velocity estimation value obtained by 2DFFT processing and a maximum unblurred velocity to calculate a blurring multiple; and using the blurring multiple, the maximum unblurred velocity and the blurred velocity estimation value to calculate a real velocity of a target, so as to realize velocity deblurring. The application uses fast time dimension DFFT to perform velocity deblurring, without changing the working mode of the radar, and has small system operation amount and low calculation complexity.

The invention discloses a febrile convulsion brain-computer signal processing method and device and a computer readable storage medium. The method comprises the following steps: acquiring an electroencephalogram signal, a body temperature signal and a motion signal of a detected person; generating a power spectrum image according to the electroencephalogram signal, the body temperature signal and the motion signal; obtaining power spectrum characteristics according to the power spectrum image; determining a signal classification according to the power spectrum characteristics and the resting state electroencephalogram data of the detected person; and determining a febrile convulsion detection result of the detected person according to the signal classification. According to the embodiment of the invention, the febrile convulsion can be effectively and timely detected under the condition that the body temperature of the patient is increased, the febrile convulsion is early warned, and effective prognosis is carried out on diseases.

The invention belongs to the field of discrete event system control, intelligent manufacturing and reinforcement learning, and discloses a state feedback control strategy generation method and system of a time delay Petri network system in a non-deterministic environment, and the method comprises the steps: constructing a time delay Petri network model containing controllable / uncontrollable transition and minimum transmission delay constraint, defining a time extension state formed by the identification and the enable transition residual delay; a two-stage random judgment mechanism is introduced, two types of non-deterministic factors of control execution errors and uncontrollable event preemption are modeled, and the state transition probability is deduced; a control problem is formalized into a Markov decision process, and a reward function with time consumption as a negative reward and deadlock and an ultra-long path as strong punishment is designed; and adopting a table type Q learning algorithm based on dynamic learning rate scheduling, iteratively updating an action value function in interaction with a simulation environment, and exporting a state feedback control strategy. The method can be widely deployed in discrete event system control scenes such as flexible manufacturing, logistics scheduling and multi-robot cooperation.