156 results about "Random sequence" patented technology

The invention relates to a fingerprint lock dynamic encryption authentication method and system and a medium. The method comprises a registration stage and an authentication stage. Wherein in the registration stage, lock body environment real-time physical parameters are collected, and a dynamic environment secret key is generated through a chaotic mapping function; acquiring a user fingerprint, identifying core and non-core feature regions, and encrypting the two types of regions by combining a dynamic environment key and a user key to generate registration encrypted fingerprint data; and dividing the data into two data fragments by using a quantum noise source true random sequence, storing the first data fragment in a local security chip, and encrypting the second data fragment and storing the encrypted second data fragment in a cloud server. In the authentication stage, environment parameters are collected in real time to generate a verification key, and the verification key is compared with a registration key; and when the two fragments are consistent, recombining the two fragments to restore the encrypted fingerprint data, authenticating the fingerprint input by the user, unlocking if the authentication succeeds, and triggering risk grading processing if the continuous failure reaches a threshold value. The overall safety and reliability of the fingerprint lock system are improved.

Disclosed are an auxiliary pilot adaptive optimization method, apparatus and device, and a medium, which relate to the technical field of wireless communications, and solve the problems of static configuration, resource waste and single function of the existing auxiliary pilot. An auxiliary pilot frequency sequence is designed into a synchronous prefix and an estimation core section, and the synchronous prefix adopts a pseudo-random sequence with high autocorrelation and is used for timing synchronization (positioning through a sequence autocorrelation peak value) and frequency synchronization (calculating frequency offset through a phase difference) in a demodulation process; the estimation core section adopts an orthogonal sequence with a low peak-to-average ratio and is used for accurate channel estimation; the double-segment sequence is connected through a preset code pattern, and it is ensured that a demodulation end can perform synchronous analysis. By sensing the channel state in real time, parameters of the auxiliary pilot frequency are dynamically adjusted, and a synchronization function is fused, so that the demodulation performance and the resource utilization rate are improved.

A method and associated memory system for randomizing memory storage data. The method and system receive at a data inverter user data and meta data sequence having an inversion seed bit, determine a value for the inversion seed bit from a look up table specifying inversion seeds for different pages of data to be stored in a memory, depending on the value of the inversion seed bit, bit-flip the user data and meta data sequence except for the inversion seed bit; and regardless of bit-flipping, exclusive OR (XOR) the user data and meta data sequence with a random sequence to produce an XORed sequence for storage in the memory as randomized data.

The application provides a method and device for generating a pseudo-random sequence, an electronic device and a computer readable storage medium. The method comprises: performing AND operation and XOR operation on M bit values of a first sequence to obtain an (A+m)th bit value of the first sequence; wherein M is an integer greater than or equal to 1, and A is an integer greater than or equal to 0; and determining an mth bit value of the pseudo-random sequence according to the (A+m)th bit value of the first sequence.

The invention discloses a load power balance regulation and control method and device based on knowledge graph and random sequence optimization, a medium and a product, and relates to the field of power system dispatching, and the method comprises the steps: constructing a power grid topology knowledge graph according to power grid physical equipment and corresponding topology connection and operation constraints; performing probability distribution fitting on the power output of the renewable energy according to the output data to obtain the output of the renewable energy; obtaining a plurality of typical output scenes; taking the state of the power grid physical equipment after fault isolation as an initial state, and constructing a random Markov decision process; searching in a state space by using an improved heuristic search algorithm by taking an initial state as a starting point, minimizing an accumulated cost function as a target, taking a hard constraint as a constraint condition and taking a topological distance as a heuristic function to obtain an optimal operation sequence; verifying the optimal operation sequence to obtain a final operation sequence; the power of the power grid is regulated and controlled; according to the invention, the fault response speed can be improved, and rapid adaptive decision in a complex scene can be realized.

This application discloses a communication method and apparatus. The method includes: A terminal device receives indication information, where the indication information indicates M combinations, and each combination includes one CS value and one comb offset value; or each combination includes a hopping value of one CS value and a hopping value of one comb offset value, where M is a positive integer. Then, the terminal device determines, based on the indication information, a first pseudo-random sequence, and a first time unit, a target CS value and a target comb offset value that correspond to a reference signal in the first time unit. Then, the terminal device sends the reference signal in the first time unit based on the target CS value and the target comb offset value.

A file security processing method based on selective encryption and adaptive transmission comprises the following steps: analyzing file metadata in an upload request of a client to obtain a file feature and a user identity; based on the file features and the user identity, calling a configured encryption seed model to generate an initial encryption seed, and inputting the initial encryption seed into the optimized pseudo-random sequence model to generate an encryption position index so as to obtain an encryption position index; on the basis of the encryption position index and the initial encryption seed, performing encryption processing on a data block in a file data stream uploaded by the client in a streaming manner to obtain an encrypted data block; meanwhile, the transmission rate is adjusted based on the real-time transmission quantity and the network quality, and a transmission rate parameter of the adaptive network is obtained so as to control the time sequence scheduling and the data sending frequency of encrypted data block streaming transmission; and performing fragmentation aggregation and data splicing processing on the transmitted encrypted data blocks according to a transmission sequence to generate a complete encrypted file, and updating a file storage record in a database according to the complete encrypted file.

The invention discloses a cross-batch chip identity verification method, device and equipment, a medium and a product, and relates to the technical field of semiconductor integrated circuit testing. The method comprises the following steps: collecting multi-source entropy data in a chip manufacturing environment, and fusing the multi-source entropy data to generate an original random sequence; intercepting the original random sequence based on the identification code length to obtain a basic identification code, and performing anti-prediction encryption processing to obtain an encrypted identification code; writing the encrypted identification code into a non-fuse nonvolatile storage area of the chip, verifying the storage integrity in real time, and activating a self-destruction circuit to cope with a failure scene; and constructing a distributed index associated with a wafer batch number, a chip physical coordinate and a test timestamp, performing double collision detection in a layered manner, and when it is detected that cross-batch identification codes are repeated, freezing identification code distribution of a defective machine and generating a traceability chain. According to the scheme, the security and uniqueness of chip identity verification are improved, and the traceability of problems in the chip production and test process is enhanced.

The invention provides an eye pattern intersection point estimation method and system, relates to the technical field of communication link evaluation, and solves the problems of insufficient estimation precision and low efficiency caused by sparse data of an intersection point region in an existing eye pattern test. The method comprises the following steps: acquiring VNA frequency domain data, converting the VNA frequency domain data into time domain data, and performing convolution calculation by using a random sequence to generate a convolution sequence; according to a preset unit interval length, segmenting the convolution sequence into a plurality of eye pattern data units to form an eye pattern data set; screening out a rising edge data subset and a falling edge data subset based on the position relationship between the starting point and the ending point of each eye pattern data unit in the eye pattern data set and the middle position of the eye pattern; and respectively carrying out average processing to obtain rising edge data and falling edge data, and carrying out linear fitting to obtain an intersection point of the rising edge data and the falling edge data as an eye pattern intersection point. According to the method, calculation can be completed only through a small number of basic data points, the processing burden is greatly relieved, and the testing efficiency is improved.

The invention relates to a method (200) for calibrating a conversion chain (12) of an analogue signal receiver (10), which method comprises: - generating (205) a pseudo-random sequence (S) of states used for the formation (210) of a frequency-modulated analogue calibration signal (ANA_cal,mod); - injecting (215) this calibration signal into the conversion chain (12); - forming a digital signal to be processed (NUM_BB) by demodulating (220) an intermediate digital signal (NUM_int) received in response to the modulated analogue calibration signal (ANA_cal,mod); - determining (225) a correlation function R(NUM_BB,S) between the digital signal to be processed (NUM,BB) and the pseudo-random sequence (S); - determining (230) a transfer function (H) of the conversion chain based on the correlation function R(NUM_BB,S); and - where necessary, determining (235) a parameter (Ci) of a processing step at the output based on the transfer function (H).

The invention discloses an image encryption method based on interpretable block model driving. The method comprises the following steps: inputting a digital image to be processed; calculating the spatial information complexity of the image; calculating the statistical information complexity of the image; calculating the visual perception complexity of the image; establishing a weight optimization objective function; the optimal weight configuration is solved; calculating an image complexity evaluation value, and calculating the image complexity by using the optimal weight configuration; the maximum and minimum block size logarithms are set, and the self-adaptive block size is determined; setting parameters of the Chen's chaotic system; generating a pseudorandom sequence, and starting the Chen's chaotic system by using a set initial value to obtain a three-dimensional chaotic sequence; inputting a plaintext image, extracting basic parameters, image height and image width, and calculating the total number of image pixels; according to the method, a completely quantifiable block decision model is constructed, the mapping process from the image features to the block strategy is accurately described through a mathematical formula, and the problem that a traditional block method lacks a theoretical basis is fundamentally solved.

The invention discloses a foreground and background calibration fused capacitor mismatch calibration method and system, and the method comprises the steps: carrying out foreground digital calibration after a chip is powered on, and comprises the steps: obtaining an error voltage; quantizing the obtained error voltage to generate a corresponding error code word; the weight of foreground calibration is obtained; the method comprises the following steps of: generating a pseudorandom sequence and injecting the pseudorandom sequence into an input signal of an ADC (Analog to Digital Converter) when an ADC (Analog to Digital Converter) enters normal work; carrying out weighted summation on the digital code word quantized and output by the ADC and eliminating the interference of the pseudo-random sequence from the digital code word; and carrying out correlation calculation on the weighted summation result after the interference of the pseudo-random sequence is eliminated and the pseudo-random sequence to obtain a calibration coefficient, and carrying out iterative calculation on the capacitance weight according to the calibration coefficient. The advantages of foreground calibration and background calibration are fully combined, so that a better calibration effect is achieved.

The invention relates to the technical field of image information security, and discloses a controllable image steganography method and system based on a steganography diffusion model. Comprising the following steps: acquiring a hash value of a color plaintext image, and obtaining a plurality of random sequences according to the hash value and three-dimensional memristor chaotic mapping; decomposing the color plaintext image into three channel matrixes, and performing scrambling and diffusion operation on the channel matrixes based on a random sequence to generate a color ciphertext image; adding noise to the carrier image to obtain a preprocessed carrier image; obtaining a plurality of wavelet coefficient matrixes according to the preprocessed carrier image; generating a ciphertext-containing wavelet coefficient matrix according to the color ciphertext image and the wavelet coefficient matrix; performing inverse discrete wavelet transform on the confidential wavelet coefficient matrix to obtain a noisy and confidential carrier image; and de-noising the noisy and confidential carrier image by using the steganography diffusion model to generate a final confidential carrier image. According to the method, the visual quality of the carrier image can be ensured, steganography analysis is effectively resisted, and the image steganography safety is improved.

In one embodiment, a method for combating side channel attacks in a system comprising a neural network comprising a block of processing elements is described. The method includes spatially disrupting an assignment map of an output of the neural network to the block of processing elements using a first random sequence generator, where the output of the neural network includes a series of multiply-accumulate (MAC) operations, and using a second random sequence generator to temporally disrupt the product of a series of MAC operations in a run sequence. A system for combating side channel attacks is also described in one embodiment.

The invention discloses a biological information security authentication method based on deep fusion of fingerprint features and digital passwords. The method comprises the steps that a user customizes the digital passwords; extracting fingerprint features by using a transfer learning model based on a ResNet-50 architecture to obtain five high-dimensional digital feature vectors; a Sigmoid function is used to carry out normalization on all the feature vectors; obtaining a random sequence for encryption; performing scrambling operation on all the gray level images by using three-dimensional Class-Z transformation; diffusion operation based on a semi-tensor product is carried out on all gray level images; storing the ciphertext images in a database according to a sequence input by a user; when the user attempts to verify, the system executes a dynamic step. According to the security authentication framework based on deep fusion of the biological characteristics and the digital passwords, the permanent identity risk caused by inherent non-revocation of the biological characteristics is fundamentally solved, and a multi-protection mechanism with high efficiency and high security for original fingerprint characteristics is constructed with the assistance of a dynamic updating / immediate template generation mechanism.

The invention discloses a wind power typical time sequence scene generation method considering an extreme scene, and the method comprises the following generation steps: S1, collecting meteorological observation data and historical original data of wind power output, and carrying out the preprocessing of the original data; s2, decomposing an annual power sequence based on extreme large / large / medium / small / random fluctuation identification; S3, constructing a monthly characteristic index system and clustering the power sequence based on a monthly scale; s4, calculating a state transition matrix of five types of fluctuations by taking the monthly clustering set as a unit; s5, reconstructing the discretized wind power sequence to generate a random wind power sequence meeting conditions, and finally combining the random sequences of all months to generate a random sequence of the whole year; according to the method, the panorama of the system operation risk can be accurately captured, the defects of a traditional typical scene method are effectively overcome, and the accuracy and reliability of time sequence production simulation, system safety evaluation and medium-and-long-term development planning are improved.

The invention relates to a pseudorandom sequence generation method and device and a medium, and the method comprises the steps: calculating weight vectors of different powers through modular operation based on a primitive polynomial of a Galois field, and obtaining a bit weight value of each bit; splitting the offset value into a plurality of accumulations in the form of power of 2 by using a binary decomposition method, and obtaining an initial vector at the offset position by combining the bit weight value at each bit; according to the bit width generation requirement, the one-dimensional weight matrix is expanded into a two-dimensional generation matrix based on the principle of a digital root method; based on the two-dimensional generation matrix, recursively calculating matrixes under different bit weights by using matrix power operation, and generating weight matrixes under different processing bit widths; generating a pseudorandom sequence starting point according to a mode of multiplying the initial vector at the offset position by the weight matrixes under different processing bit widths; and generating the pseudorandom sequence from the starting point of the pseudorandom sequence by using a recursive formula. According to the invention, waste of storage resources and bandwidth resources can be avoided.

The present application relates to the technical field of wireless communications. Disclosed are a communication method and a related apparatus. The method is applied to a first communication apparatus. The method comprises: sending first information to a second communication apparatus, the first information being used for indicating a first pseudo-random sequence, the first pseudo-random sequence being used for training a channel estimation model, the channel estimation model being used for predicting a channel between the first communication apparatus and the second communication apparatus, and the channel being predicted on the basis of the first pseudo-random sequence and a second pseudo-random sequence; and sending the second pseudo-random sequence to the second communication apparatus. The present application is used for keeping the model performance of channel estimation models during training.

The application discloses a radar high-resolution imaging method based on compressed sensing. The application comprises the following steps: step 1, an imaging model is established according to the joint block sparse characteristics of a random sequence stepped echo signal; step 2, a criterion of a block sparse signal space matching pursuit (BSSMP) algorithm is determined; step 3, the BSSMP algorithm is constructed according to the criterion; step 4, a sensing matrix Θ is constructed, so that the column full rank is satisfied, and a column set T∪T k is represented in the sensing matrix Θ; step 5, a condition that all the indexes selected by the BSSMP in the k+1th iteration are correct is established under the premise that at least K-r correct support elements are selected in the first k iterations of the BSSMP algorithm; and step 6, a condition and a required number of times for reconstructing X by the BSSMP algorithm are given. The application can effectively recover a signal, the established model fully considers the structural characteristics of the block sparse and joint sparse of the sequence echo signal, realizes joint processing of multidimensional signals, improves the imaging performance, and has high application value.

The invention relates to the technical field of communication security, and particularly provides an encryption method based on a dynamic coupling image lattice, comprising the following steps: S1, acquiring to-be-encrypted constellation diagram data, and taking the constellation diagram data as plaintext data; s2, carrying out DNA coding on the plaintext data, then carrying out arithmetic operation, and then carrying out DNA anti-coding to complete data disturbance encryption; rules of DNA coding, operation and DNA anti-coding are determined through a preset method. The preset method comprises the following steps: S21, acquiring a key sequence, and dividing the key sequence; s22, generating a first intermediate one-dimensional pseudo-random sequence by using a first chaotic mapping model; s23, performing dynamic iteration on the first intermediate one-dimensional pseudo-random sequence by using a one-dimensional coupling mapping lattice model fused by a second chaotic mapping model to obtain a second intermediate one-dimensional pseudo-random sequence; and S24, determining the rules of DNA coding, operation and DNA anti-coding through the second intermediate one-dimensional pseudorandom sequence. The method is high in sequence randomness and high in communication security.

The present disclosure describes a method for conditioning and preprocessing raw cosmic ray data to extract features and generate a binary string representing the inherent randomness in the data. Measurable characteristics of cosmic ray particles, such as arrival times and amplitudes, are processed to create random binary sequences. These binary strings are then used to train a generative adversarial network (GAN) framework. In the GAN framework, the generator creates random sequences resembling the target distribution, which matches the entropy of the conditioned cosmic data. The discriminator evaluates the generated sequences by comparing them to the conditioned cosmic data and assigns a randomness score that characterizes the quality of the generated sequences. This adversarial process ensures the generation of high-quality random sequences that are statistically indistinguishable from the conditioned input data.

The invention discloses an intelligent dynamic model parameter identification method and system based on a hybrid optimization algorithm, and belongs to the field of dynamic modeling of rail transit vehicles. The problems that an existing train dynamics model is insufficient in parameter identification precision and poor in robustness are solved. According to the technical scheme, the method comprises the following steps: constructing a train elementary point kinetic model; carrying out noise reduction preprocessing on the collected actual measurement speed data and actual measurement displacement data of the train; performing mapping processing on the random sequence by adopting Tent chaotic mapping, generating an initial hybrid optimization population, and performing iterative optimization on the initial hybrid optimization population; performing disturbance operation on the initial hybrid optimization population; constructing a speed-displacement dual-objective loss function for dynamic weight adjustment to drive parameter inversion, carrying out numerical solution on the train elementary substance point kinetic model, finally obtaining an optimized train elementary substance point kinetic model, and calculating and evaluating speed parameters and displacement parameters including a plurality of evaluation indexes; the method is applied to dynamic models.

This invention belongs to the field of communication technology, and particularly relates to a code Doppler verification device and method. An initial pseudo-random sequence C(t) is periodically sent from a signal source to a wireless channel simulator. The wireless channel simulator adds a code Doppler effect to the acquired initial pseudo-random sequence C(t) to obtain a pseudo-random sequence C′(t), and sends the pseudo-random sequence C′(t) and the initial pseudo-random sequence C(t) to a spectrum and signal analyzer. The spectrum and signal analyzer performs orthogonal demodulation and low-pass filtering on the initial pseudo-random sequence C(t) and the pseudo-random sequence C′(t) to obtain a pseudo-random sequence C0. n (t) and pseudo-random sequence C′ m (t), and the initial pseudo-random sequence C(t) and the pseudo-random sequence C n (t) and pseudo-random sequence C′ m (t) is sent to the host computer; the host computer, based on the initial pseudo-random sequence C(t) and the pseudo-random sequence C... n (t) and pseudo-random sequence C′ m (t) Verify whether the added code Doppler is consistent with the effect of symbol compression or expansion caused by the actual speed.

The invention relates to a local public random input generation method for TPM (Trusted Platform Module) key agreement, and aims to solve the problems of low communication efficiency and synchronization delay caused by transmission of random input vectors in the traditional key agreement process. According to the method, based on an improved Logistic mapping chaotic system, a non-uniformly distributed sequence output by standard chaos is converted into a random sequence conforming to uniform distribution through mathematical transformation, so that two communication parties can locally generate consistent public random input without transmitting random data. The core innovation of the method is that integral transformation and derivation technologies are fused, the output distribution characteristics of the chaotic system are optimized, the chaotic essence such as initial value sensitivity and aperiodicity is kept, and safety requirements and synchronization efficiency are balanced through structured randomness. According to the method, the communication load is remarkably reduced, the system response speed is improved, the statistical attack resistance is enhanced, and an efficient and reliable random input generation mechanism is provided for TPM key negotiation.

The invention discloses a communication device, system and method for performing near-field encryption communication by using cosmic ray muons, and belongs to the field of secret communication, and the device comprises a muon measurement module which can detect the time information and track information of the cosmic ray muons, and sends the time information and track information as muon measurement data to a data processing module according to a triggering judgment condition; the data processing module can screen the received muon measurement data and generate an angle number sequence and a random sequence library by using the reserved data; the received angle number sequence is screened, and redundant parts are deleted; a secret key and a mark sequence are generated by using the random sequence library during encryption and are sent to the communication module; generating a secret key according to a mark sequence sent by the communication module during decryption, and sending the secret key to the communication module; the communication module can encrypt a plaintext or decrypt a ciphertext by using the secret key generated by the data processing module; and transmitting the ciphertext and the flag sequence to other communication devices during encryption; and sending the mark sequence to the data processing module during decryption. The success rate of encrypted communication is improved.

The application provides a neutron equivalent modeling method and device for high filling rate dispersion particles, and the method comprises the following steps: calculating the maximum outer radius of the equivalent particles; under the premise of keeping the core diameter of the particles unchanged, calculating the maximum compression ratio of the cladding layer of the particles; according to the set compression ratio, calculating the filling rate of the equivalent fuel element after the size of the cladding layer of the particles is compressed, wherein the set compression ratio is less than or equal to the maximum compression ratio; adjusting the density of the cladding layer material and the density of the matrix material to ensure the conservation of nucleon number of the cladding layer and the matrix material before and after the equivalent; and using a traditional modeling method to perform geometric modeling and neutron calculation on the equivalent fuel element. The application can effectively avoid the filling rate limitation of the random sequence increasing method, meet the modeling demand of random distribution of high filling rate dispersion particles, and realize reactivity equivalence and ensure the neutron calculation accuracy.

The invention discloses an encrypted information management system based on big data, and relates to the field of big data. Comprising an information acquisition secret-pre-involved matching judgment module, an information multi-section division encryption matching module, an information encryption number segment multi-dimensional combination generation module, a single-day encryption number segment out-of-order processing module, a multi-key storage management control module and an information management control platform. The method comprises the following steps: constructing a multi-time window encrypted information data queue, performing multi-dimensional cryptographic combination on an encrypted number segment allocated to each time window and a characteristic value of collected information in the window, performing strong association on a generated time period key and original data content, and simultaneously performing strong association on the original data content by using a random sequence with the date of the day as a seed, out-of-order combination is carried out on original time sequences of all time windows of the whole day, time period secret keys are randomly confused, and a multi-level cryptographic processing chain including time period feature extraction, encryption number segment binding, information multi-dimensional fusion, time sequence confusion and date synthesis is constructed.

The invention discloses a video call forgery detection method based on a high-frequency sound signal, and the method comprises the steps: enabling a terminal device to actively transmit a high-frequency sound signal which is imperceptible to human ears in a video call process, and embedding a random sequence code in the high-frequency sound signal; the method comprises the following steps: synchronously acquiring an audio signal and a video signal of a video call, verifying a random sequence carried in the audio, extracting a human body motion feature of a target user reflected by high-frequency sound response, and extracting a corresponding visual motion feature from a video picture; and judging whether the video call is a real-time real call or not by analyzing the time sequence consistency between the acoustic motion feature and the visual motion feature. According to the method, a high-frequency sound active detection mechanism of random sequence coding and cross-modal motion consistency check are utilized, and playback and synthesis class forgery in a video call are defended from the physical level. The system can be deployed in terminal equipment such as a computer, a smart phone and the like with a loudspeaker, a microphone and a camera.

The application discloses a constant beam adaptive beam forming method and system based on frequency difference, and the method comprises the following steps: segmenting FFT of time domain data of a target signal, converting the time domain data into frequency domain data, and calculating a data covariance matrix for each frequency point; estimating the azimuth of the target by using the data covariance matrix of each frequency point to obtain an estimated value of the target azimuth; generating a Gaussian random sequence with the same length as the array receiving signal as a reference signal, and reconstructing the array output of the reference signal according to the target azimuth estimated value; performing conjugate multiplication on the array output containing the target signal and the reconstructed array output of the reference signal to obtain the array output based on the frequency difference, and calculating the covariance matrix of the frequency difference output; calculating the weight value of the adaptive beam according to the covariance matrix of the frequency difference output to form the constant beam width adaptive beam. The application is simple and convenient, has small calculation amount, and can improve practicability.

The invention discloses a multi-user hidden networking method based on double time scale constraints. The method comprises the following steps: 1, slicing time-frequency network resources to obtain an available time-frequency slot set; 2, obtaining a basic random sequence M < k > under the action of a system clock and a user authentication key; 3, performing cyclic shift transformation on the basic random sequence M < k > to obtain an extended sequence family NL * K; step 4, carrying out orthogonalization processing on the extended sequence family NL * K to obtain a decision sequence family HL * K, and guiding multiple users to access the network; 5, authorized user access protocol performance analysis is carried out, and dual-time-scale constraint is carried out to achieve the optimal networking throughput; step 6, reliability and security analysis is carried out on the covert communication system; and 7, analyzing the tolerance of the covert communication system, and solving by using an improved SA-PSO algorithm. According to the method, multiple users are guided to asynchronously access the covert communication network through dynamic management and allocation of spectrum resources, and the method has the characteristics of high efficiency, flexibility, stability and accuracy.