155 results about "Base frequency" patented technology

The ELM-based frequency safety constraint linearization optimization scheduling method comprises the following steps: establishing a fire-wind-light multi-energy complementary frequency dynamic response model, and deducing a time domain analytical expression of a frequency safety index by taking a frequency maximum change rate and a frequency maximum deviation as the frequency safety index of a system; considering a frequency lowest point security constraint and a frequency maximum change rate security constraint, and establishing a frequency security constraint-containing optimization scheduling model; a maximum bearable disturbance power linearization mapping method based on ELM is provided, nonlinear frequency security constraints are converted into a series of linear constraint sets, and linearization processing of the frequency security constraints is achieved; and piecewise linearization is carried out on quadratic terms in the established objective function containing the frequency security constraint optimization scheduling model, the overall model is converted into a mixed integer linear model, and a Gurobi solver is used to solve the linearly processed model. The scheduling method can ensure that the system frequency is safe and stable, so that the established optimal scheduling model gives consideration to both economy and frequency safety.

The invention discloses a bridge dynamic performance rapid evaluation method based on dynamic displacement multi-parameter analysis. The method comprises the core steps that S1, a bridge theoretical fundamental frequency f theory and a theoretical impact coefficient mu theory are calculated, and dynamic load efficiency parameters are calibrated; s2, when the bridge is in a good state, the worst vehicle speed Vc, the maximum impact coefficient initial value mumax initial, the fundamental frequency initial value f initial, the first-order modal damping ratio initial value D initial and the quasi-static deformation reference value Ss are measured through a special loading vehicle; s3, collecting and processing daily patrol dynamic displacement data, and rapidly extracting and analyzing an actual measurement fundamental frequency f actual measurement, an actual measurement impact coefficient mu max actual measurement and an actual measurement damping ratio D actual measurement; and S4, comprehensively evaluating the dynamic performance of the bridge by analyzing the change conditions of the f actual measurement, the mumax actual measurement and the D actual measurement. According to the method, standardized rapid testing is achieved, single-time inspection only needs several minutes, traffic interruption is not needed, the rigidity, impact resistance and energy dissipation characteristics of the bridge structure are efficiently evaluated by means of the multiple objectively-quantified power parameters (the fundamental frequency, the impact coefficient and the damping ratio), and the scientificity and efficiency of daily inspection are remarkably improved.

The invention relates to the technical field of thermal power generating unit frequency modulation, and discloses a thermal power generating unit frequency modulation control method based on deep learning. According to the method, through real-time acquisition and preprocessing of operation data, power grid data, environment data and historical frequency modulation data of a thermal power generating unit, abnormal values and missing values can be effectively removed, amplitude and periodic characteristics of frequency fluctuation are extracted, frequency prediction is carried out by adopting a long-short-term memory network model, and the accuracy of frequency prediction is improved. According to the method, complex time sequence characteristics and dynamic changes can be captured, the prediction precision is remarkably improved, compared with a traditional control method depending on experience, the method has higher adaptability and flexibility, in addition, the needed adjusting amount can be accurately calculated in combination with LSTM output and a PID control strategy, and therefore rapid and accurate frequency adjustment is achieved, and the method is suitable for large-scale popularization and application. The response speed and the adjusting capacity of the thermal power generating unit are improved, the stability and the reliability of the power system are enhanced, and finally efficient and safe power supply is achieved.

Provided in the present invention are a primary frequency regulation dynamic simulation method and apparatus based on a thermal power condensate water throttling strategy, which are used for analyzing the dynamic characteristics of a unit when a power plant executes a primary frequency regulation instruction by means of a condensate water throttling strategy after a power disturbance occurs in a power grid. The dynamic characteristics mainly comprise the characteristics of a steam turbine speed governor system, the characteristics of a variable-frequency condensate pump system, the dynamic heat exchange characteristics of a low-pressure heater and extraction steam, the flow characteristics of an extraction steam pipeline, and the output characteristics of a steam turbine body. A moving boundary method is mainly applied to a heat exchange process between condensate water (a cold fluid) and shell-side extraction steam (a hot fluid) in a low-pressure heater. The heat exchange process between the cold and hot fluids can be divided into a superheated section, a phase change section and a subcooled section on the basis of the aggregation state of the extraction steam. When the moving boundary method is applied to a steam turbine regenerative system, the dynamic variation laws of extraction steam temperature and pressure can be more accurately obtained, and the extraction steam pressure on a low-pressure heater side is a key factor in determining the extraction steam flow rate on a low-pressure cylinder side, and is also critical in determining the instantaneous power increment of a steam turbine. Moving boundary method-based frequency regulation dynamic simulation for thermal power condensate water throttling takes into account relatively comprehensive actual process factors, and only one-dimensional modeling along an axial main flow direction is taken into account, thus combining the advantages of fast and accurate simulation. A fast and accurate simulation method is a prerequisite for implementing power grid frequency security analysis. By mastering the dynamic process of power plant load response from the moment a frequency deviation exceeds a dead band to the moment same returns to the dead band, a foundation can be provided for the primary frequency regulation control of power plants and the frequency security analysis of power grids.

The invention relates to the technical field of protocol conversion, in particular to an E1 / IP video conference protocol conversion device and system, and the system comprises a frame structure mapping module, a signaling adaptation module, a media stream packaging module, a buffer area control module and a synchronous coordination module. According to the invention, the synchronization mark and the load field of the physical layer framing structure are extracted, the maximum transmission unit parameter is combined, the frame packet boundary is accurately identified, the cross-network data positioning accuracy is improved, the call control mapping relation is established based on key field identification, and the session continuity between heterogeneous signaling is enhanced; the audio and video sampling rate and timestamp fundamental frequency are matched and verified, the consistency of media stream transmission time delay is guaranteed, interface throughput and time slot occupation changes are dynamically monitored, a buffer regulation and control instruction is generated, and the data transmission stability under burst flow is improved; the synchronization accuracy of the protocol conversion system in a heterogeneous network environment is realized, and the reliability of real-time services such as video conferences and the like is enhanced.

The invention provides an impact table top optimization method and device based on multi-physics field coupling and a storage medium, and belongs to the technical field of mechanical impact simulation. According to the scheme, an impact table top is modeled, a large number of finite element models are randomly constructed according to a modeled structure model, and the impact table top is optimized; the model simulation system is used for carrying out analogue simulation on each finite element model, and the finite element model with the highest fitness is determined, so that the impact table top can be optimized according to table top parameters corresponding to the finite element models, and the performance requirements of light weight, high fundamental frequency and high strength / rigidity can be met at the same time; therefore, the impact table board can be in an extreme dynamic environment with high energy, transient impact and broadband excitation.

The invention provides a multi-channel microwave signal generation method and system with a fixed initial phase, and the method comprises the steps: responding to a triggering signal received by a high-speed clock synchronization module after a pre-configured synchronous clock signal is inputted to the high-speed clock synchronization module; the high-speed clock synchronization module generates a sampling clock signal and a logic clock signal based on the synchronous clock signal, responds to the logic clock signal and inputs the logic clock signal to the high-speed controller, the high-speed controller generates a signal description word while triggering signal input, responds to the sampling clock signal and inputs the sampling clock signal to the direct digital frequency synthesis module; and the direct digital frequency synthesis module generates an analog fundamental frequency signal required by the multi-channel microwave signal source based on the signal description word, responds to the analog fundamental frequency signal and inputs the analog fundamental frequency signal to the phase-locked loop device, and the phase-locked loop device outputs a final target microwave signal.

The invention relates to the technical field of life prediction of a permanent magnet in a permanent magnet synchronous motor, and discloses a multi-element segmented degradation modeling and life prediction method for the permanent magnet of the permanent magnet synchronous motor, which comprises the following steps of: firstly, selecting a back electromotive force fundamental frequency amplitude drop rate and a characteristic harmonic content rise rate as degradation characteristic quantities; respectively representing overall and local demagnetization behaviors of the permanent magnet; the method comprises the following steps: acquiring data through an accelerated degradation test, and establishing a segmented Wiener process model to describe stage characteristics of degradation; utilizing a t-Copula function to construct a joint distribution model of the multivariate degradation characteristic quantity; extrapolating model parameters under normal stress by combining an Arrhenius model and a segmentation point-temperature model; and life prediction is carried out by adopting Monte Carlo simulation, and the model precision is verified through an area ratio index and a cross validation method. According to the method, the degradation process of the permanent magnet can be comprehensively and accurately represented, high-precision life prediction is realized, and the method is suitable for reliability evaluation and preventive maintenance of a motor system.

A high-frequency power supply system according to the present disclosure includes a first power supply, a second power supply, and a first matcher. The first power supply performs frequency modulation control in a second power supply ON period and performs frequency offset control to output a forward wave voltage VF3 having a fundamental frequency F3 obtained by adding an offset frequency to a fundamental frequency F1 in a second power supply OFF period. An optimum value of an initial phase α of a modulation signal is searched for, and an offset frequency Fos at which a difference between a reflection coefficient ρ11 or load-side impedance Z11 corresponding to a center of a locus and a reflection coefficient ρ12 or load-side impedance Z12 is minimum is searched for, and the fundamental frequency F3 in the second power supply OFF period is set.

The invention provides a two-degree-of-freedom fundamental frequency modulation method and device of a multi-level current source converter. And triggering each bridge arm in the multi-level current source converter by adopting a fundamental frequency modulation mode according to a preset first degree of freedom and a preset second degree of freedom under the condition that the terminal voltage of the U-phase filter capacitor has a zero crossing point moment. On the basis of the first degree of freedom and the second degree of freedom, the switching speed of a semiconductor device on a bridge arm in the multi-level current source converter can be reduced by adopting a fundamental frequency modulation mode, and the harmonic quality of the multi-level current source converter is greatly improved, so that the operation loss of the multi-level current source converter is reduced, and the service life of the multi-level current source converter is prolonged. And the sampling cost and the control cost of the sensor are reduced. The multi-level current source converter can realize decoupling of voltage and power, so that the operation of the multi-level current source converter is more flexible and efficient.

The invention discloses a high fundamental frequency permanent magnet motor low carrier wave ratio control method and device based on an optimal switching vector mode. The method comprises the steps of sampling a motor current and a rotor position, and obtaining a dq-axis reference current; calculating a reference stator flux linkage, a reference modulation ratio and a reference voltage phase angle; looking up the table according to the carrier wave ratio and the reference modulation ratio to obtain an optimal switching vector mode and an optimal flux linkage apocentric distance of offline optimization; determining an optimal switching vector mode of the current control time domain; calculating an optimal reference stator flux linkage; calculating a reference voltage vector according to sampling and calculation delay; calculating a switching vector sequence and action time; a switching signal is generated. Through off-line optimization, on-line table look-up and real-time synthesis calculation of the optimal switching vector mode, low-current harmonic and high-dynamic response control of the permanent magnet motor under a low carrier wave ratio is realized, the complexity of a control algorithm is simplified, and the efficiency and reliability of the system are improved.

A method for identifying the dynamic behavior of a non-rigid object (10), the object being fixedly attached to a platform (12) that can be set in motion by an actuation device (14) is proposed. The method comprises actuation of the drive device (14) so ​​as to impart to the object a predefined periodic movement at a frequency, called the "cycle frequency". The periodic movement is a combination of at least two geometrically independent periodic elementary movements. The method comprises recording during actuation the variation of at least one quantity representative of a dynamic behavior, called the "dynamic quantity", and calculating for each of the cycle frequencies of the components called "elementary components", a Fourier transform of the variation of said at least one dynamic quantity for each elementary frequency.A dynamic behavior of the object is determined based on the variation of the elementary components. Abstract figure: Figure 2.

The application relates to the field of laser technology, in particular to a device and a method for generating wide-tuning narrow-line-width mid-infrared laser, wherein the pump light emitted by a nanosecond pulse OPO base frequency pump source is reflected to a beam splitter by a full reflection mirror after passing through a first adjuster; the pump light emitted by a continuous wave OPO base frequency pump source is irradiated to the beam splitter after passing through a second adjuster; the two beams of pump light are combined after passing through the beam splitter, are focused after passing through a plano-convex lens, are irradiated to a first plano-concave full reflection mirror, and then are transmitted to a nonlinear crystal to generate signal light and idler mid-infrared laser through nonlinear frequency conversion; the idler mid-infrared laser and the residual pump light are transmitted to a doublet mirror and are separated by the doublet mirror; the signal light is reflected to the nonlinear crystal in sequence through a second plano-concave full reflection mirror, a first plane full reflection mirror, a second plane full reflection mirror and the first plano-concave full reflection mirror, and an oscillation closed loop is formed. The application realizes that the pulse OPO outputs a pulse with a line width less than 90 MHz in the tuning range, and the extraction efficiency of the idler light is as high as 9.3%.

The invention discloses a wind turbine generator frequency modulation control method based on inertia requirements. The method comprises the following steps: analyzing main factors influencing system frequency response characteristics; according to an analysis result, taking the frequency change rate as a constraint, and carrying out system minimum inertia demand evaluation; according to an analysis result, performing system minimum inertia demand evaluation by taking the maximum frequency offset as a constraint; the maximum value of the two constraints is adopted as the minimum inertia demand of the system, so that the sufficient inertia of the system is ensured, and the frequency stability of the system is improved; and constructing a target function according to the results to obtain the output power of the wind turbine generator, and participating in system frequency modulation. In order to solve the problems that the existing comprehensive inertia simulation synchronous machine control is insufficient and the consideration factors of the system minimum inertia evaluation are not comprehensive, a wind turbine generator rotor kinetic energy optimal frequency output power control scheme based on the system minimum inertia demand is provided, and the flexibility and plasticity of the wind turbine generator converter control output power are fully exerted. And the system frequency stability is enhanced.

An impedance matching circuit for a plasma process supply system and a plasma process system, configured for powers≥500 W and frequencies in a range from 2 MHz to 100 MHz, the impedance matching circuit including a matching unit having one or more reactances and a resonator. The impedance matching circuit is configured for operation at a predetermined high frequency (HF) power signal with a predetermined basic frequency and auto-frequency tuning (AFT) bandwidth, limited by a predetermined upper AFT frequency and a predetermined lower AFT frequency. The resonator is configured to not influence the HF power signal at the predetermined basic frequency and to damp the HF power signal and / or influence the HF power signal in a phase at both the predetermined upper and lower AFT frequencies.

The application discloses a frequency offset estimation method and device based on LoRa modulation, a medium, and a frequency offset estimation device. The method comprises the following steps: estimating a decimal multiple frequency offset based on an upper chirp signal in a received chirp signal, and compensating the received chirp signal based on the decimal multiple frequency offset to obtain a compensated chirp signal; determining a first upper chirp signal and a first lower chirp signal from the compensated chirp signal, and the decimal multiple frequency offset is obtained based on the upper chirp signal in the chirp signal; determining a first position with the largest correlation peak of the first upper chirp signal and a reference upper chirp signal, and a second position with the largest correlation peak of the first lower chirp signal and a reference lower chirp signal; and estimating a target frequency offset based on the first position, the second position, and the decimal multiple frequency offset. The method can improve the accuracy of frequency offset estimation, reduce the influence of timing deviation on the accuracy of frequency offset estimation, improve the accuracy and precision of timing synchronization, and further improve the demodulation performance of a LoRa received signal.

Technological advancements are disclosed that utilize inertial sensor data for multiple classes to select a combination of filters to extract information though features to train a machine learning core decision tree. A determination is made whether the data for a class includes a frequency peak or dominating frequency that contains significant information about the class. In response to the data for the class including a frequency peak, a peak-based frequency range is determined. An entropy value is calculated for multiple frequency ranges in the data for the class. An entropy-based frequency range is selected from the multiple frequency ranges having a minimum entropy value. A frequency of interest is selected from the peak-based frequency range and the entropy-based frequency range for the class. A combination of filters is selected for each frequency of interest for each class and a decision tree is trained based on selected filter combination.

The invention provides a frequency modulation nonlinear correction method based on frequency domain phase shift asynchronous resampling. The method is realized based on a sweep frequency interference measurement device, and the method utilizes signals detected by two balance detectors to carry out a series of calculations so as to determine a target distance. According to the method, the problem that in an existing synchronous resampling frequency modulation nonlinear correction method, the nonlinear correction effect is not ideal due to the fact that the optical frequency of the auxiliary interferometer and the optical frequency of the measurement interferometer are not synchronous can be solved, correction can be more accurate through frequency domain phase shift resampling, and the correction effect is not limited by the sampling rate.

The present application relates to the technical field of geophysical electromagnetic exploration data processing, and specifically discloses a kind of orthogonal digital phase-sensitive detection time-frequency electromagnetic complex response extraction method, automatically extracts base frequency and initial phase using transmitter stored time-stamped current data, constructs zero initial phase orthogonal reference signal, carries out two-way digital phase-sensitive detection to receiver full waveform sampling data, obtains in-phase component and quadrature component, so as to calculate the complex response amplitude and phase information of target frequency.The present application does not need analog phase-locked loop and artificial phase modulation process, can stably extract complex response parameters under strong interference and strong noise background, is especially suitable for array time-frequency electromagnetic receiver full waveform sampling data post-processing, without transmitting current waveform to each receiving node in real time, improves the flexibility and scalability of time-frequency electromagnetic system.

The application discloses a high-power laser beam inter-delay measurement device, when the relative time delay is measured in a base frequency band, a signal emitted by a clock reference is connected to a first channel of a high-speed oscilloscope in an electrical signal mode, and a pulse output by a main laser system with a high repetition frequency is received by a first photoelectric tube and converted into an electrical pulse and connected to a second channel of the high-speed oscilloscope; when the relative time delay is measured in a three times frequency band, three times frequency analog light is received by a second photoelectric tube after passing through terminal optical elements and converted into an electrical pulse and connected to a third channel of the high-speed oscilloscope. The application measures the time delay by segmenting and dividing wavelengths, and finally accumulates the total delay to determine the time delay of each light beam relative to the reference at a target point. The high-precision measurement of the inter-beam delay can be realized without adding new equipment by using the existing main laser system with a high repetition frequency, three times frequency analog light source and other equipment, the principle and structure are simple, the cost is low, and the engineering implementation is easy.

The application discloses an infrared image denoising method, computer equipment, medium and product, and relates to the technical field of image processing. The method comprises the following steps: firstly, constructing a structure tensor matrix corresponding to each pixel point in the infrared image through horizontal and vertical pixel gradient matrices; then, realizing separation of a base frequency component and a high frequency component of the infrared image based on an anisotropy measurement map, processing the main structure and the detail information respectively, and avoiding problems such as detail loss or noise residue caused by the traditional denoising method. In the high frequency component processing, the high frequency noise is efficiently filtered through the steps of overlapping block division, structure similarity reference sub-block screening, three-dimensional block group singular value decomposition and adaptive threshold shrinkage, and the integrity of the detail information is ensured by means of sub-block stacking and inverse transformation reconstruction. Finally, the fusion of the base frequency component image and the denoised high frequency component image ensures that the output image has clear main structure and retains key details such as edges and textures.

The invention discloses a resonance network for suppressing transient recovery voltage of a circuit breaker, and belongs to the technical field of high-voltage alternating-current circuit breaker switching-on and switching-off. The resonance network is composed of a metal oxide arrester and N resonance branches with the same structure. The number N of the resonant branches and the resonant frequencies of the resonant branches are obtained through an electromagnetic transient simulation model; the resonant frequency presents low impedance near the transient recovery voltage fundamental frequency, a shunt and energy consumption path is provided for the high-frequency oscillation current, and active suppression of the rising gradient and the oscillation amplitude of the transient recovery voltage is achieved. The metal oxide lightning arrester is used as backup protection, and clamps the transient recovery voltage peak value when the suppression effect of the resonance branch is insufficient or abnormal. The resonant network can significantly suppress the rise rate and amplitude of transient recovery voltage under a high voltage level in a medium strength recovery critical period, effectively improves the on-off reliability of the vacuum circuit breaker, and has good working condition adaptability and system safety.

The application discloses a kind of suitable for cascade full-bridge SVF valve loss calculation method.First, based on system parameters and operating conditions, the time-domain characteristic curve of SVF bridge arm current and voltage in base frequency period is solved.Then, combined with the nearest level modulation and the control strategy of in-phase submodule capacitor voltage balance, the influence mechanism of control frequency is calculated, and the switch function of each submodule is calculated.In addition, for selected model switch device, the characteristic curve is fitted by curve fitting method, the key parameters required for loss calculation are extracted, and the loss model of the device is constructed.Finally, based on the established loss model and the switch function of submodule, the operating loss and switching loss of SVF are calculated respectively, and then the total valve loss is synthesized.The application adopts analytical method to realize fast loss calculation under different operating conditions, which can accurately calculate the influence of modulation strategy and control parameters on loss, and has excellent calculation accuracy, which significantly improves the accuracy compared with existing algorithm.

A method is provided for detecting a fault in a gear system for repositioning a seat assembly in an automotive vehicle. The gear system includes a gear train operatively coupled to a motor. The method includes the steps of measuring a current drawn by the motor to reposition the seat assembly, recording the current over time as a current waveform, converting the current waveform into a frequency domain, determining a base frequency of the current waveform based on the converted current waveform, calculating a power spectrum density at the base frequency, calculating a total band power of the power spectrum density, and determining whether the total band power is greater than a predetermined total band power threshold.

Systems and associated methods for electroencephalography (EEG) biofeedback comprise an EEG signal capturing device comprising at least one electrode, an amplifier, and a transmitter for transmitting an EEG signal, an audio device comprising a first side output and a second side output; and a computer system, configured for receiving an EEG signal from the EEG signal capturing device, identifying a current predominant brain frequency in the EEG signal, causing a base frequency to be played by the audio device, and causing a modified frequency to be played by the first side output of the audio device while the base frequency is played by the second side output of the audio device creating a binaural beat, until the current predominant brain frequency matches the difference between base frequency and the modified frequency.

The present application relates to a kind of frequency reconfigurable metasurface based on liquid metal, frequency control method and application, belong to electromagnetic metamaterial field.It includes lower layer dielectric substrate, upper layer dielectric cover plate, liquid metal;Upper layer dielectric cover plate is etched with circular through-hole;Lower layer dielectric substrate is etched with similar microchannel of bow tie type, to fill liquid metal;Upper and lower layer dielectric is bonded together;Liquid metal is driven in microchannel by external force and flows;Liquid metal flows into microchannel by circular through-hole, and frequency is adjusted by adjusting liquid metal in microchannel to realize frequency adjustable.The present application adopts liquid metal to control frequency compared with prior art, and the working frequency range is wider, and the resonance depth is larger, can be used as wave-absorbing material and should be realized on airborne antenna The stealth of aircraft.

The application relates to the technical field of motor drive control, and discloses a driving control system of a cooling tower permanent magnet motor based on a double-tooth planetary mechanism, which comprises a speed control module, a frequency mapping module, a gain modulation module, a state machine module, a frequency domain extraction module, a torque synthesis module and a current control module. The system is self-adaptive to load fluctuation of the cooling tower through frequency mapping and gain modulation, accurately extracts an engagement base frequency and outputs a reverse compensation current to offset high-frequency vibration. Meanwhile, the state machine module combines the polarity of the current instruction and the jerk to determine the mechanical transmission state, cuts off compensation in the gap crossing area and implements derivative limiting to inhibit rotor idling acceleration, and utilizes the idling angle to accurately reset the phase of high-frequency fluctuation in the dynamic re-engagement capture area. The application effectively weakens the destructive mechanical impact during gear gap re-engagement, eliminates residual oscillation caused by phase misalignment, and improves the safety boundary and stability of the transmission system.

The invention discloses an energy storage system deep reinforcement learning frequency modulation control method based on health state perception, and relates to the field of power system frequency modulation. The method comprises the steps of S1, collecting and preprocessing power grid frequency deviation, load disturbance and energy storage SOC, SOH and power data; s2, constructing a DRL control framework of MDP modeling, and defining a state space containing SOH, a continuous action space and a multi-target composite reward function; s3, adopting a DDPG algorithm to train the model, and optimizing an energy storage power instruction through an Actor-Critic network to meet frequency and energy storage security constraints; and S4, evaluating a frequency index and an energy storage SOH attenuation rate through step and fluctuation disturbance verification. Through SOH perception and DRL optimization, the problems that traditional control response is slow and energy storage life is ignored are solved, balance between frequency stability and energy storage life is achieved, and the method is suitable for primary frequency modulation of a high-proportion new energy power grid and has remarkable engineering application value.

The electronic control device of the present application is provided with: a flow rate calculation section that calculates the flow rate of intake air from an output signal of a flow rate measuring device attached to an intake pipe; a flow rate correction value calculation section that calculates an average value, a maximum value, a minimum value, and an amplitude of a signal of one or more frequencies included in the output signal of the flow rate measuring device and above a fundamental frequency of the output signal of the flow rate measuring device, for a prescribed period, of the flow rate of intake air calculated by the flow rate calculation section, and calculates a correction value for the flow rate of intake air from the calculation results; and a flow rate correction section that corrects the flow rate of intake air according to the correction value.

The invention relates to a simulation method for automatically optimizing a bump wiring structure. The method comprises the following steps of: drawing a copper sheet on an original wiring, and setting width, height and copper sheet spacing variables; copying the copper sheets according to the distance between the copper sheets along the wiring direction to form an array; setting a return loss threshold value by taking the return loss under the fundamental frequency as an optimization target; automatically adjusting a plurality of variables through an optimization algorithm, and obtaining a parameter combination of the width, the height and the copper sheet spacing meeting the return loss threshold value; and constructing a salient point routing structure model according to the parameter combination. According to the method, the width, height and spacing parameterization of the salient point copper sheet are set as variables, and automatic iterative optimization is carried out by taking return loss under DDR signal fundamental frequency as a target in combination with an optimization algorithm, so that the problem of low efficiency of manual parameter debugging in the prior art is effectively solved; based on a mode of dynamically setting a return loss threshold value by a DDR signal fundamental frequency, a fundamental frequency value and an optimization target can be synchronously adjusted, and different DDR rate scenes can be naturally adapted.