69 results about "Rate function" patented technology

A subscriber unit for use in a multiple access spread-spectrum communication system includes a spread spectrum radio interface, responsive to a rate function signal from a base station, and first and second despreaders. The base station assigns the rate function spread-spectrum message channels and the first despreader recovers and modifies an information signal one of the spread spectrum message channels. The information channel mode is then modified for processing by the second despreader, with the second despreader supporting a different information signal rate. The subscriber unit has a capability of communicating with a dynamically changing a transmission rate of an information signal which includes multiple spread spectrum message channels. The system includes a closed loop power control system for maintaining a minimum system transmit power level for a radio carrier station and the subscriber units, and system capacity management for maintaining a maximum number of active subscriber units for improved system performance.

An embodiment of the invention provides an X-band dual-polarization weather radar quantitative precipitation measurement method and an X-band dual-polarization weather radar quantitative precipitationmeasurement system. The X-band dual-polarization weather radar quantitative precipitation measurement method comprises the steps of: utilizing an X-band dual-polarization radar to obtain radar data in a detection range, and using a laser raindrop spectrograph to obtain an actually measured raindrop spectrum of a detection point; acquiring a radar reflectivity factor and an attenuation rate; acquiring an actually measured rainfall rate and a radar reflectivity factor true value of the detection point based on the actually measured raindrop spectrum, acquiring an attenuation rate true value ofthe detection point through T matrix scattering simulation, acquiring a rainfall function in the detection range through fitting the actually measured rainfall rate and the attenuation rate true value, and further acquiring a rainfall rate; inverting the rainfall rate by using the attenuation rate if the radar reflectivity factor is greater than a first set threshold value; and acquiring an attenuation rate function in the detection range through fitting the radar reflectivity factor true value and the attenuation rate true value is the radar reflectivity factor is not greater than the first set threshold value, and then acquiring a rainfall rate in the detection range based on the attenuation rate function. The X-band dual-polarization weather radar quantitative precipitation measurementmethod and the X-band dual-polarization weather radar quantitative precipitation measurement system can acquire more precise predicted rainfall rates.

A method for controlling an adsorption unit and associated compressor that adjusts the flow rate of a compressed feed stream produced by the compressor so that it increases from a nominal flow rate and then decreased back to the nominal flow rate. The increase and decrease of the feed stream flow rate are controlled in accordance with increase and decrease rate functions of adsorbent bed pressure ratio between off-line and on-line adsorbent beds and a triggering pressure ratio at which the feed flow rate decreases. Each of the increase and decrease rate functions is tuned to produce a similar response in the flow of a product stream produced by the adsorption unit. Additionally, repressurization time is controlled by driving it toward a target value that allows the purge stage of regeneration to be maximized and therefore, the degree to which each of the adsorbent beds is regenerated.

The invention provides an event image resolution enhancement method and system. The method comprises the steps that S1, an event image is divided into the first class of event flow and the second class of event flow; S2, as for each class of event flow, the target event sequence of each pixel is acquired according to the event number distribution matrix and the spike rate function of each class ofevent flow based on a rejection sampling algorithm; and S3, the target event sequences of all the pixels of the first class of event flow and the target event sequences of all the pixels of the second class of event flow are combined so as to acquire the enhanced event image after resolution enhancement of the event image. The event sequence of each pixel of the enhanced event flow correspondingto each class of polarity event flow is sampled through the rejection sampling algorithm so that resolution enhancement of the low-resolution event image can be realized. The blank of the field of event image resolution enhancement can be filled, the resolution of the event image can be effectively enhanced and various application of the event image can be facilitated.

The invention discloses a bus dynamic departure scheduling optimization method based on a genetic algorithm. The method specifically comprises the steps that information of vehicles and passengers running on a single line is collected before the starting moment of a planning period; a passenger flow arrival rate function is obtained according to the real-time data and prediction, and parameters needed by model calculation are determined at the starting moment of the planning period; a scene-based dynamic bus departure scheduling robust optimization model is established by taking minimization of an expected value of total waiting time of passengers as an objective function under the condition that scenes on a single line are different; a genetic algorithm is designed for solving, and according to the probability of subjective occurrence of each scene in the preference adjustment model and the magnitude of a regret value in the model constraint, different solutions for selecting an optimal departure scheme are obtained. According to the method, the problem of dynamic bus departure scheduling under the condition that the passenger arrival rate is uncertain is solved, the waiting time of passengers is shortened, the potential risk of bus operation is reduced, and the safety and the stability of a bus system are improved.

The invention relates to a neural network generation method and device, electronic equipment and a storage medium. The method comprises the following steps: sampling a plurality of adaptive sampling networks from a search space according to a preset network type; Respectively inputting the plurality of sampling networks into a network evaluation model for processing to obtain network evaluation values of the plurality of sampling networks, wherein the network evaluation model comprises a mirror image stimulation function for representing a topological structure of a preset reference network and / or an accuracy rate function for representing the accuracy rate; and generating a target network according to the network evaluation values of the plurality of sampling networks. According to the embodiment of the invention, by introducing the mirror image stimulation function representing the topological structure of the reference network, the high-precision neural network can be automaticallysearched.

The invention provides a micro-grid frequency control method with the lowest power generation cost, and belongs to the technical field of electric system operation and control. The method comprises the steps that a respective power generation cost function and a power generation cost micro increasing rate function are established; active power output limit constraints of distributed power supplies and energy constraints of energy storage devices are set; and the synchronization speed regulator of a power generator and the controller of an inverter are regulated to perform primary frequency modulation, secondary frequency modulation is performed after a time interval, system frequency is acquired and active power set value total regulating amount of each time of secondary frequency modulation is calculated, the active power set value total regulating amount is allocated for all the distributed power supplies or the energy storage devices participating in frequency modulation, the active power set value regulating amount and the original set values are summated to act as a new active power set value, then one time of frequency modulation is performed again and stable system frequency can be maintained. Utilization rate of renewable energy is enabled to be the maximum by the method, and consumption capacity of micro-grid renewable energy can be enhanced. Besides, realization is convenient and control is easy.

The invention proposes a distributed Newton method based primary frequency modulation control method of a microgrid, and belongs to the technical field of running and control of a power system. The method comprises the following steps of building respective power generation cost function and power generation cost tiny-increasing rate function of each distributed power generation unit; setting an active power output restriction constraint of the distributed power generation unit; exchanging power generation cost tiny-increasing rate information of adjacent distributed power supplies; carrying out Newton iteration by an outer ring iteration method so that power generation cost tiny-increasing rate of power balance and minimum power generation can be figured out, wherein in each iteration step, each distributed power generation unit is used for calculating a Newton direction approximate to the step according to inner ring recurrence and information exchange between adjacent units, so that necessary information is provided for outer ring iteration. According to the method, second-order convergence of the distributed Newton method is fully utilized, primary frequency modulation of the microgrid is rapidly achieved, and the frequency is stabilized; and meanwhile, the minimum power generation cost of the microgrid can be achieved, and the maximum renewable energy utilization rate can be achieved.

In various multi-media services, an enormous memory capacity need not be prepared even when it is necessary to prepare a plenty of types of interleaving patterns. For example, when decoding reception data series of 2 Mbps or above with configuration such as 8-iteration, there is no need of preparing a high-speed memory capacity for temporarily storing the generated interleaving pattern. Furthermore, when the generated pattern needs to be transferred to an interleaving RAM in a turbo decoder actually performing processing, there is no need of preparing such a large amount of transfer data that the interface becomes a bottle neck. It is possible to provide an interleaving order generator, an interleaver, a turbo encoder, and a turbo decoder which can be realized by a minimum parameter transfer never promoting bottle neck on the Interface even when a variable rate function is provided and the interleave length changes frequently and solves the problem that the transfer rate in the multi-media service cannot be followed.

The invention provides a retrieval algorithm for deleting repetitive data in cloud storage. When deletion of the repetitive data needs to be carried out, a file similar to a newly written file in a whole storage system can be retrieved at first; furthermore, a threshold value is reached; then, the two files are precisely compared; the repetitive data is abandoned; and only different data and index information are reserved. A certain amount of file fingerprint data is randomly extracted in a sampling manner; a sampling method and the sampling amount are considered; in combination with the sample similarity, a file repetitive rate function is constructed; a redundant file is abandoned by setting a repetitive rate threshold value; therefore, deletion of repetitive files is realized; the storage space is saved; the method has the characteristics of being rapid in calculation speed and high in deletion rate; and thus, the retrieval algorithm is more suitable for large data and cloud storage environments.

The invention relates to the method for adopting metastructure surface to realize intermediate infrared invisibility. The method comprises steps of adopting a metastructure flat material surface, performing regulation and control on the amplitude and the phase on the incident light in order to control the information carried by the outgoing information so as to realize the invisibility of a two-dimension transparent object in a specific position, utilizing an existing optical simulation program to calculate the light field amplitude distribution of the position where the flat material is positioned according to the given two-dimension transparent object transmittance rate function and device positions, linearity information of a nanometer antenna and parameter information of an optical system which is practically constructed, and performing arrangement on the antenna array on the surface of the material according to the obtained complex amplitude distribution information in order to achieve the visibility effect. Compared with the traditional optical invisibility method, the invention is simple and fast and is low in complexity of manufacturing the device.

The invention provides a method for optimizing two-dimensional aeoplotropism sensor network coverage, and belongs to the technical field of sensation. The method comprises the following steps: 1, initializing a sensor network, and calculating the initial coverage rate of a network according to the initial position, the sensation radius, the sector sensation direction angle, the sensation sector field angle and the like of a node; 2, setting the iteration times N to be 1; 3, setting a random disturbance angle for different sensor nodes so as to obtain disturbance angle vectors of the Nth iteration; 4, acquiring the coverage rates of the Nth iteration when a present network rotates on two positive and negative directions of the random disturbance angle vectors; 5, calculating approximate gradient values corresponding to the coverage rate functions, of the present different sensor nodes according to the disturbance angle vectors and the coverage rates of the Nth iteration; 6, updating the sensation direction angles of the different sensor nodes, completing the procedure when N is equal to a preset iteration times K, or else turning back to execute the step 3 when N is equal to N+1. By adopting the method, the optimal rotation angles of different sensor nodes of the two-dimensional aeoplotropism sensor network can be obtained, and the optimization efficiency is high.

The invention relates to a method and an apparatus for determining an exhaust gas recirculation rate in an internal combustion engine, in which the exhaust gas recirculation rate indicates a proportion of exhaust gas in a gas quantity delivered to a cylinder of the internal combustion engine, and combustion takes place in the cylinder of the engine cyclically during a combustion phase. The method includes the steps of ascertaining a combustion course statement over the course of combustion in the cylinder of the engine, and ascertaining an actual exhaust gas recirculation rate from the combustion course statement with the aid of a predetermined exhaust gas recirculation rate function. The invention further relates to a method and an apparatus for regulating an exhaust gas recirculation rate in an internal combustion engine, in which the exhaust gas recirculation rate indicates a proportion of exhaust gas in a gas quantity delivered to a cylinder of the internal combustion engine, and combustion takes place in the cylinder of the engine cyclically during a combustion phase. The method includes the steps of ascertaining a combustion course statement over the course of combustion in the cylinder of the engine, furnishing a set-point statement as a function of an operating point of the engine, and performing a regulation to compensate for a deviation that results from the set-point statement and the combustion course statement.

The invention discloses a polarization laser radar calibration method based on a Jones matrix, and a polarization laser radar. The method is used for correcting a depolarization ratio of a polarization laser radar. According to the calibration method, the polarization direction of emission laser is changed by use of a half-wave plate, through angle change of the half-wave plate, a depolarization ratio of the angle change of the half-wave plate and a depolarization ratio change rate value are obtained, a Diff function comparing a depolarization ratio function with a depolarization ratio change rate function is established, the Diff function is fitted by use of a least square method, a Jones matrix constant of a system is obtained, and according to the Jones matrix constant, a corresponding half-wave plate optimization rotation angle is obtained; and when the polarization laser radar carries out long-distance detection, the half-wave plate optimization rotation angle is maintained unchanged, and by use of the Jones matrix constant, the depolarization ratio is corrected by use of the Jones matrix in a receiving optical path. According to the invention, bidirectional determination is realized through the Jones matrix constant and the half-wave plate angle, the scaling precision is high, and relative errors are small.

A photomask evaluating method comprises calculating a killer defect rate function with respect to a simulative defect pattern including a pattern of photomask and a plurality of defects, the killer defect rate function representing a killer defect rate of the simulative defect pattern with respect to a desired density of the pattern and a desired size of the plurality of defects, calculating the number of killer defects in an inspection region of the photomask based on an area of the photomask inspection region, a pattern density in the inspection region, the killer defect rate function and a defect size distribution representing the number of defects per unit area to a defect size range acquired from a photomask manufacturing step, and evaluating the photomask based on the calculated number of the killer defects.

The invention proposes a graphic image compression method, which is mainly for lossy compression of graphic images. In a traditional method, after an image is subjected to wavelet transform, an encoding method is adopted to directly encode a wavelet coefficient matrix; the compression rate of the compression method often cannot satisfy multiple images nowadays and the relationship between various pixels of the image is ignored. The method of the invention is used for modeling the relationship between an image distortion function and a bit rate function for the wavelet coefficient matrix after the wavelet transform, and the relationship between an optimal compression ratio and various pixels of the image is fully considered. The method comprises the following steps: firstly, performing three times of wavelet transform on an original image, and obtaining the wavelet coefficient matrix about the image; secondly, establishing a compression function, that is a distortion function, establishing a mathematical model of the distortion function and the bit rate function of the image in each image subblock, and then reversely substituting into the mathematical model for solving to obtain the optimized wavelet coefficient matrix under the current background; and finally, using an SPIHT encoding method to encode the optimized wavelet coefficient.

The invention discloses a power grid safety risk assessment method based on a load loss. The method comprises the following steps of constructing a line fault risk factor function; based on the fault risk factor function, constructing a fault risk probability function under a line maintenance state; constructing a load loss rate function after a fault; based on an effectiveness function, constructing a loss-of-load severity function; multiplying the fault risk probability function under the line maintenance state by the loss-of-load severity function so as to acquire a loss-of-load risk index function, which means that a risk index evaluation model of a line fault under the line maintenance state is acquired; and collecting basic data of a power grid to be assessed, and using the risk index evaluation model to calculate a loss-of-load risk index of the power grid to be assessed. By using the method, a power grid manager can clearly know an operation risk point existing in system operation; according to a corresponding risk grade, a corresponding prevention control strategy is made; and through prevention control measures, an operation state of a system is adjusted and optimized so that the system can be far away from a hidden trouble operating point and is operated in a safe range.

A damage probability calculating apparatus for calculating a damage probability of a specific estimation target includes: a storage unit 1 that stores a damage rate function representing a relationship between a damage rate and time; a damage rate function correcting unit 3 that corrects the damage rate function on the basis of examination data acquired at the time of general examination of the estimation target; and a damage probability calculating unit 4 that calculates the damage probability on the basis of the damage rate function corrected by the damage rate function correcting unit 3.

The invention provides a fan speed adjustment system and method. The system comprises a sampling module, a creating module, an acquisition module, a calculation module and an adjustment module, wherein when a temperature sensor is normal, the CPU usage rate, the temperature value and the fan speed value are sampled; a usage rate function, a temperature function and a speed function are created according to the sampled usage rate, the temperature value and the speed value; the creating module further creates a first function between the temperature value and the speed value according to the temperature function and the speed function; the creating module further creates a second function between the usage rate and the temperature value according to the usage rate function and the temperature function; the creating module further creates a third function between the usage rate and the speed value according to the first function and the second function; the acquisition module acquires the CPU usage rate in real time; the calculation module calculates a corresponding fan speed value according to the usage rate acquired in real time and the third function; the adjustment module adjusts the current fan speed into a speed value obtained by calculation. According to the fan speed adjustment system and method, the fan speed can be adjusted normally under the condition that the temperature sensor is damaged.

The invention discloses a dynamic evolution rate BESO topological optimization method on arc tangent and an application thereof. The dynamic evolution rate BESO topological optimization method comprises the steps: firstly, for a basic structure needing topological optimization, carrying out the discrete design of a domain through a finite element grid under a given boundary and loading condition,and obtaining a finite element model; determining initialized related parameters; executing finite element analysis for the finite element model, calculating the comprehensive sensitivity of each unitof the finite element model, and constructing the current dynamic evolution rate of the finite element model according to an arc tangent dynamic evolution rate function; determining the number of units needing to be updated in the current iterative step of the finite element model according to the current dynamic evolution rate of the finite element model; updating and optimizing the finite element model according to the number of units to be updated and the comprehensive sensitivity; and if the structure of the currently updated finite element model meets a constraint condition or a convergence condition, ending the optimization, and outputting an optimization model. According to the invention, the topology optimization of the basic structure can be accelerated by using the dynamic evolution rate, and the efficiency and flexibility of topology optimization are improved.

The invention relates to a method for evaluating suppression effect of a smoke suppressor on a release process of an asphalt thermal decomposition product, belongs to the technical field of asphalt material safety, and solves the problem that an existing asphalt smoke suppression performance evaluation method is inaccurate. According to a technical scheme combining DSC-MS (differential scanning calorimetry-mass spectrometry) and thermal analysis kinetics theoretical calculation, the method includes: firstly, testing asphalt with a DSC-MS analyzer to acquire data such as a DSC curve and a continuous mass spectrogram; secondly, analyzing the continuous mass spectrogram, understanding rules of variation, with temperature, of components and concentration of volatile matters produced during asphalt thermal decomposition, and evaluating the smoke suppression effect of the smoke suppressor on the asphalt; thirdly, determining a reaction mechanism function and a conversion rate function of the asphalt thermal decomposition process, solving thermal analysis kinetics parameter activation energy E and a frequency factor A, and quantitatively evaluating the smoke suppression effect of the smoke suppressor on the asphalt; finally, comparing E and A of matrix asphalt with those of smoke suppression type asphalt, and combining a mass spectrogram analysis result to more accurately evaluate the suppression effect of the smoke suppressor on the asphalt release thermal decomposition product.

The invention relates to oil field and gas field oil extracting and gas extracting equipment manufacturing. Innovative design is carried out in terms of well opening sealing and safety protection mechanisms, and the problems that high gas extraction temperature makes the stickness of hydraulic oil in an annular preventer descend when the temperature of the hydraulic oil is higher than the rated functioning temperature of the hydraulic oil, leakage is generated, and pressure is reduced are solved. A circulating water cooling system with a low-water-level inlet and a high-water-level outlet is arranged in the annular preventer body to achieve water circulation and reduce the temperature of the preventer. The annular preventer has the advantages of being exquisite and compact in structure, good in heat absorbing effect and capable of guaranteeing normal work of the hydraulic oil under the rated functioning temperature, prolonging the service life of a rubber core, being capable of being flexibly and reliably closed and eliminating potential accident hazards caused by high temperature.

The invention provides a predicting method of material grain size distribution in a ball-milling process. The method comprises the following steps: acquiring a material grain size distribution predicting model of continuous ore grinding based on a crushing distribution function, a continuous crushing rate function and a standing time distribution function of a material; acquiring a predicted error between the predicted material grain size distribution and the actual material grain size distribution based on the material grain size distribution predicting function; and setting an adjusting threshold value and a plurality of error intervals, and correspondingly adjusting the predicting model based on the relationship between the probability of the predicting error in different error intervals within a certain time and the adjusting threshold value. The method provided by the invention creates conditions for guiding ball-milling production and realizing optimized control of the ball-milling process and energy-saving power consumption.

The invention discloses an estimation method of capacity exchange ability between large regional grids of an electric system. The method comprises the steps: based on sensitivity analysis of a section exchange capacity-voltage change ratio, carrying out analysis on the section exchange capacity-voltage stability of a tidal current section between the large regional grids, and obtaining the most sensitive node of voltage of a system; and carrying out spline interpolation on a trend of voltage change to sensitivity change, wherein the voltage change is based on the most sensitive node of the voltage of the exchange capacity, carrying out derivation after nonhomogeneous exponential function fitting is conducted on a discrete value obtained by the spline interpolation, obtaining a change rate function of the voltage change to sensitivity, calculating a limit of the exchange capacity according to discrimination conditions of a critical point of voltage stability, analyzing the voltage stability conditions of the system through a voltage stability margin, and carrying out checking and calibration on correctness of an inflection point and an estimation result of the exchange capacity.

The invention discloses a method applied to an ultrahigh frequency reader for efficiently identifying a tag. According to the method, firstly, a Q initial value of a system is set to be 2, the maximum likelihood estimation method is combined with the method, and the throughput rate of the system is calculated; secondly, the monotony of the throughput rate function when the tag number is larger than the time slot number, different step lengths delta Q are adopted for fast adjusting the Q value according to a throughput rate grouping manner of the system, and therefore the system can be in the optimal Q value identifying state all the time to perform identifying. According to the method, the throughout rate is stabilized to be at least 33 percent, when the Q initial value is smaller than the tag number, the set of the Q initial value little influences the throughout rate of the system, the dependency on the set of the Q initial value by the system is greatly relieved, and the stability and practicability of the system are improved.

The invention relates to a task-and-efficiency matching-based electromechanical system interactive multi-model maintenance prediction method. The method includes the following steps that: a (m, N)-dimension maintenance model is established for a heterogeneous multi-component system on the basis of life distribution; a decentralized maintenance mode is adopted for an electromechanical system; the full-cycle failure sequence statistics of the electromechanical system is calculated; the full-cycle expected cost rate function of the electromechanical system is calculated through using the full-cycle failure sequence statistics; and optimization and solution are performed: integer optimization is performed on control single variables according to the full-cycle expected cost rate function, andoptimal parameters in the maintenance model are solved through adopting an enumeration method, so that an optimal expected cost rate is obtained. According to the optimization method, the influence ofshutdown loss caused by a maintenance period on total costs and the influence of the maintenance period on total time are considered, and therefore, the parameters of the maintenance model are more reasonable, and the optimal expected cost rate is more accurate.

The invention discloses a spherical coordinate system-based calculation method of a spraying thickness accumulation rate. The method is characterized by including the following steps: S1, establishinga function expression of a spraying-gun coating supply flow rate model under a spherical coordinate system of a spraying gun; S2, establishing a relationship of a coating accumulation rate model andthe spraying-gun coating supply flow rate model of any point on a free curved surface under the spherical coordinate system; S3, determining each to-be-determined parameter or coefficient in a spraying-gun coating supply flow rate function, and calculating a spraying-gun coating supply flow rate; and S4, calculating the coating accumulation rate according to the spraying-gun coating supply flow rate. The method can be widely used in spraying-robot spraying jobs of various complex free curved surfaces, expression is more intuitive, calculation is simpler, and a good foundation can be laid for subsequent trajectory planning and cumulative thickness simulation; and theoretical and algorithmic bases can be provided for realizing offline programming and simulation of robot automatic-spraying, and improvement of workpiece spraying quality is facilitated.

This invention relates to a cascade odd and even number demultiplexer that is on the basis of toroid cavity structure. The invention includes an input optical fiber, a first output optical fiber and a second output optical fiber. The invention includes standard placed lens, a polarizing beam splitter, an input half wave plate and a cascade toroid cavity along antegrade direction of output beam of input optical fiber in order; the invention includes a first input half wave plate, a first polarizing combining beam equipment, a first focusing lens and a stated first output optical fiber along antegrade direction of output horizontal beam of cascade toroid cavity in order; the invention includes a second output half wave plate, a second polarizing combining beam equipment, a second focusing lens and a stated second output optical fiber along antegrade direction of output perpendicular light beam of cascade toroid cavity in order. This invention is mainly used in wave separating reused communication system to separate double chain of odd and even number of wave separating reused signal and for absorber that needs to smooth spectral transmission rate function.

The invention provides a flight departure and departure rate prediction method and device, and the method comprises the steps: carrying out the classification of the meteorological conditions of an airport according to the cloud bottom height and visibility, and building a first departure and departure rate function model of a flight under different meteorological conditions; optimizing the firstentrance rate function model and the first departure rate function model by adopting an opportunity constraint optimization model according to the historical data set of the airport, and establishinga second entrance rate function model and a second departure rate function model of the flight; obtaining the current meteorological condition of the airport, and selecting a corresponding second entrance rate function model and a corresponding second departure rate function model under the current meteorological condition; and obtaining a predicted entrance rate and a predicted departure rate ofthe airport flights. On the basis of an airport historical data set, the entrance and departure rate function model of the flights is established, and the entrance and departure rate of the flights can be accurately predicted.

The invention provides a hub airport flight wave data processing method and device based on the maximum transit opportunity. The method comprises the steps that the discrete data of initial segment total inbound flights changing with time are counted at every predetermined time interval, and the discrete data are fit into an initial inbound flight quantization function; according to the initial inbound flight quantization function, an initial inbound flight quantity change rate function is determined; according to the initial inbound flight quantity change rate function, an airport inbound and outbound flight wave discrete function model is determined based on the maximum transit opportunity; and according to the airport inbound and outbound flight wave discrete function model based on the maximum transit opportunity, a flight wave is optimized. According to the invention, a third-order incremental least squares fitting method is used to acquire the initial inbound flight quantity change function; a single hub airport flight wave optimization model is set up based on the maximum transit opportunity; and the airport flight wave is optimized through the model to improve transit opportunities of passengers.