154results about How to "Reduce bandwidth requirements" patented technology

The invention discloses a self-adaptive power grid state court intelligent fusion terminal and a control method thereof, relates to the technical field of intelligent power grids, and solves the defects that an existing fusion terminal is insufficient in self-adaptive capability and limited in data processing and analysis capability. Learning power grid state change in real time through a deep power grid dynamic control algorithm and a prediction analysis engine combining LSTM and random forest, and autonomously adjusting a control strategy; the edge calculation and distributed processing module is utilized, so that the data processing flow is optimized, and the data processing speed and efficiency are greatly improved; the application of time sequence analysis and a machine learning model further excavates and understands a complex data mode; the resource configuration efficiency is improved through an intelligent scheduling algorithm, and a cross-layer coordination mechanism is established through a distributed coordination algorithm, so that rapid issuing and feedback collection of a control instruction are ensured; according to the invention, the intelligent degree of the existing fusion terminal is greatly improved.

The invention discloses a Transform large model training method based on cloud edge collaboration. The method comprises the following steps: S1, constructing a data set; s2, preprocessing the data set; s3, segmenting the preprocessed data set by using a data parallelism strategy, and performing distributed training by combining data parallelism and model parallelism technologies; s4, monitoring computing resources and network conditions of the edge equipment and the cloud server in real time, dynamically adjusting a data distribution strategy, and optimizing computing load distribution; s5, a multi-agent dominant actor-commentator algorithm is combined with a multi-arm tiger machine strategy, and the layered structure of the Transform model is adjusted in real time; s6, performing partial model reasoning tasks on the edge equipment in combination with the edge reasoning capability; s7, protecting data privacy by adopting a federal learning strategy and utilizing a differential privacy technology; and S8, performing hardware acceleration by utilizing heterogeneous computing resources. According to the method, a cloud edge cooperative computing and intelligent scheduling method is adopted, and large model training and reasoning with efficient privacy protection are realized.

The invention discloses a SiC MOSFET gate oxide layer degradation monitoring method based on turn-off oscillation, and the method comprises the steps: measuring the drain-source current change rate diDS / dt when a SiC MOSFET is turned off through the source stray inductance voltage vcir, and carrying out the measurement of the gate oxide layer degradation of the SiC MOSFET based on the offset of the negative temperature sensitivity of the threshold voltage VTH in the diDS / dt and the positive temperature sensitivity of the electron mobility mu. Zero temperature sensitivity of a source stray inductance voltage negative peak value vcircmin is realized by adjusting a driving resistor RG and a negative voltage VEE during turn-off, and the gate oxide layer degradation degree of the SiC MOSFET is monitored under a selected monitoring driving resistor RGM and a turn-off gate voltage VEEM. The monitoring method is high in universality and has a good monitoring effect on degradation of gate oxide layers of SiC MOSFETs of different models; the temperature influence is extremely small, so that the device can work in an environment with large temperature fluctuation; a pin of a monitored device does not need to be used as a measurement interface, so that the system invasiveness is small; the parameter measurement methods are many and mature; and the method has great online application potential.

The invention relates to the technical field of audio coding and decoding, and discloses an audio coding and decoding method and device based on a neural network, equipment and a storage medium. The method comprises the following steps of: firstly, gradually quantizing residual information of an audio signal by introducing an improved residual vector quantization method, and more finely retaining audio characteristics in a compression process; then, a loss function fusing reconstruction loss, perception loss, residual vector quantization loss and commitment loss is adopted, so that the reconstruction quality of the audio signal under different bit rates is remarkably improved, and efficient audio compression can be realized while high tone quality is ensured; and finally, an entropy coding module is introduced after quantization, so that the code rate of coding is further reduced, and the bandwidth requirement of audio real-time transmission is remarkably reduced.

The invention discloses a communication data processing system and method based on edge computing, and belongs to the technical field of data processing.The method specifically comprises the steps that communication data on edge nodes are obtained, the obtained communication data are preprocessed, the preprocessed communication data are layered and filtered, and the data are obtained; the method comprises the following steps of: partitioning and compressing layered and filtered communication data, optimizing a transmission path and a transmission mode of the data by adopting an intelligent routing strategy to obtain an optimal transmission path, and cooperatively processing the data of a plurality of edge nodes by using distributed calculation among the edge nodes to obtain an optimal transmission path. Data processed by the edge nodes are uploaded to the center node for aggregation, and analysis results are generated and fed back to the edge nodes; according to the invention, the resource allocation is dynamically adjusted according to the actual computing power and the load condition of each edge node, and the waste of resources is avoided.

The invention discloses a shield tunnel risk early warning method and system based on digital twinning and federated learning, and the method comprises the steps: a shield tunnel construction side client serves as an edge calculation terminal, and obtains basic parameters; a first shield digital twinning system, a second shield digital twinning system and a third shield digital twinning system are correspondingly constructed by the shield machine producer client side, the shield tunnel construction side client side and the third-party client side according to the basic parameters; a shield construction risk early warning model is arranged in each shield digital twin system; the shield machine production side client, the shield tunnel construction side client and the third side client are all participants, and each participant sends model parameters of the respective shield construction risk early warning model to the central server; the central server is used for averaging the parameters of the three models and issuing the average value of the parameters to each participant; and each participant updates the model of the participant according to the average value of the parameters, and realizes shield construction risk early warning based on the updated model.

The invention discloses a radar and video information fusion coding method for vehicle over-limit early warning. The method comprises the following steps: acquiring three-dimensional point cloud data through a radar module; measuring three-dimensional sizes of length, width and height of the target vehicle in real time; a video information acquisition module is used for acquiring vehicle image data, and the video data identifies license plate numbers and vehicle appearance features through an improved YOLO deep learning algorithm to assist in judging whether a vehicle exceeds a limit or not; the vehicle three-dimensional size measured by the radar is compared with the standard size in the database through the data processing module, whether the vehicle exceeds the limit or not is judged through a threshold value method, radar data and video data are effectively fused through an algorithm, and the fused data are compressed. The radar and video information fusion technology is utilized, an efficient coding scheme is combined, the high-precision and high-efficiency vehicle over-limit early warning function can be achieved, and the method is suitable for complex road environments and variable traffic scenes.

The invention provides a video coding method and device, electronic equipment, a chip and a medium, and relates to the field of video coding, and the method comprises the steps: determining a plurality of initial regions in each frame of picture for a plurality of frames of pictures in an original video; determining the change rate of each initial region based on the pixel points in the plurality of initial regions; determining at least one coding region and a coding strategy corresponding to each coding region based on the change rate; and performing video coding on each coding region by using the coding region corresponding to each coding region to obtain target data. According to the coding method provided by the invention, the change frequencies of different regions are identified, the regions needing to be coded are determined, and different coding modes are adopted according to the change frequencies of the coding regions, so that efficient and flexible dynamic regional coding is realized, the coding efficiency is improved, the calculation amount and the transmission amount are reduced, and the network bandwidth requirement is reduced.

The invention belongs to the field of chip design, and provides a packet bus interconnection architecture of an SoC system, which comprises a system bus matrix SYSBUSMatrix, at least one processor bus matrix CBM, at least one high-speed peripheral bus matrix HPBM, at least one memory bus matrix RBM and one low-speed peripheral bus matrix SPBM, the CBM, the HPBM, the RBM and the SPBM are all connected with the SYSBUSMatrix through a bus bridge; the embedded processor is mounted on the CBM, and meanwhile, the CBM is connected with the RMB; a high-speed peripheral is mounted on the HPBM, and meanwhile, the HPBM is connected with the RMB; a random access memory (RAM) is mounted on the RBM, and meanwhile, the RBM is connected with the CBM and the HPBM; the SPBM is connected with a plurality of paths of AHB buses through an AXI-AHB bridge, the SPBM is connected with a plurality of paths of APB buses through an AXI-APB bridge, meanwhile, the SPBM is connected with SYSBUSMatrix, and a plurality of paths of low-speed peripherals are mounted on the AHB buses or the APB buses. According to the method, bus transmission among modules such as a processor, a high-speed peripheral and a storage can be balanced, bus competition among high-speed interfaces is effectively reduced, data transmission efficiency is improved, chip rear-end implementation is simplified, and therefore the performance of the whole SOC is optimized.

The invention discloses an infrared expressway foreign matter detection method based on a Mama framework, and the method comprises the steps: continuously carrying out the data collection of expressway scenes under different illumination conditions and different weather conditions through an infrared sensor, obtaining infrared image data, carrying out the preprocessing of the infrared image data through data augmentation, generating training data, and carrying out the detection of foreign matter in an expressway. Dividing the training data into a training set, a test set and a verification set in proportion; constructing a detection network based on a Mama framework, wherein the detection network comprises a student network and a teacher network; training the teacher network through back propagation based on the training set; training a student network based on the result of the teacher network and the real data to obtain a target detection network; and inputting a to-be-identified image into the target detection network to obtain a detection result. According to the invention, the method achieves the quick and accurate recognition of potential risks, guarantees the high detection precision through the combination of the infrared imaging technology and the powerful processing capability of a Mama frame, achieves the real-time response to foreign body threats, and remarkably improves the efficiency and safety of expressway monitoring.

The invention discloses a data reasoning method, system and device and a storage medium, and the method comprises the steps that a master node generates a query vector, a key vector and a value vector based on an input lexical element of a current layer of a Transform model, and adds the key vector and the value vector to a local key value cache of the master node; the master node broadcasts query vectors to a plurality of slave nodes through network equipment; the plurality of nodes perform attention calculation based on the query vector and the local key value caches of the plurality of nodes to obtain initial attention vectors corresponding to the plurality of nodes; the plurality of slave nodes send respective initial attention vectors to the master node through the network device; the network device performs aggregation processing on the initial attention vectors corresponding to the plurality of slave nodes to obtain a target attention vector; and the main node performs model reasoning based on the target attention vector through a Transform model to obtain an output lexical element. Therefore, the reasoning time can be reduced, and the network bandwidth requirement is reduced.

The invention belongs to the technical field of power distribution network equipment, and particularly provides an intelligent power distribution cabinet and a monitoring method thereof.The intelligent power distribution cabinet comprises an intelligent power distribution cabinet body, a lifting mechanism, a damping mechanism, a fireproof mechanism, a base and a power module for supplying power to the whole intelligent power distribution cabinet; the intelligent power distribution cabinet body is installed on the base through the damping mechanism and the lifting mechanism in sequence, the monitoring module comprises a monitoring unit, an edge calculation processor, a storage unit and a communication unit, the monitoring unit and the storage unit are both connected to the edge calculation processor, and the edge calculation processor is connected to a cloud server through the communication unit; by introducing the edge computing processor, real-time data processing and analysis can be carried out locally on the intelligent power distribution cabinet. The localized computing power avoids delay caused by uploading a large amount of data to the cloud, especially under the condition of poor network conditions, quick response can still be kept, and the effectiveness of real-time monitoring and fault early warning functions of the power system is ensured.

The invention provides a scanning chip, a scanner, a scanning system and a scanning method for realizing double scanning modes. The scanning chip comprises an image input port, a multi-path input switch, a depth calculation engine and an output port so as to respond to a high-precision scanning mode or a rapid scanning mode to process left and right feature image data acquired by a three-dimensional scanner; in a high-precision scanning mode, left and right feature images are received through an image input port and enter a multi-path input switch so as to allow the left and right feature images to be output through an output port; in the fast scanning mode, left and right feature images are received through the image input port and enter the multi-path input switch, so that the left and right feature images are allowed to enter the depth calculation engine for stereo matching processing to obtain a disparity map or a depth map or light stripe extraction processing to obtain left and right interested images, and the left and right interested images are output through the output port. The three-dimensional scanner applying the scanning chip has different measurement precisions and can meet the scanning requirements of different application scenes.

The invention discloses a centralized phased array beam control method and system based on an FPGA, and relates to the technical field of phased array beam control, and the method comprises the steps: carrying out the real-time iterative operation through an incremental adaptive correction kernel in a centralized control FPGA, and obtaining an amplitude-phase correction increment and a corresponding target effective frame number; performing increment differential coding on the amplitude-phase correction increment and the corresponding target effective frame number in a centralized control FPGA (Field Programmable Gate Array) to generate an increment differential beam control message; sending the increment difference beam control message to an array element FPGA (Field Programmable Gate Array) at the front end of an array, executing frame-level atom switching according to a target effective frame number, and fusing the amplitude-phase correction increment and a locally stored old beam control weight in the switching process to obtain a final array element beam control weight; generating a real-time beam control directional diagram based on the final array element beam control weight; the stability and convergence precision of beam control are improved, and the bandwidth requirement of a control link is reduced.

The invention discloses a driving circuit for a laser in a transmitter and a transmitter architecture. The driving circuit comprises a transcoding module, a retiming module, a pulse generation module, an asymmetric feedforward amplification module, a first current adding module, a high-pass filtering module, a low-pass filtering module, a push-pull type driving module, a pre-driving module and a second current adding module. According to the technical scheme, due to the fact that the first current adding module and the second current adding module are arranged, PAM4 type current signal conversion can be carried out at the output end of the asymmetric feed-forward amplification module, the large-capacitance load at the output end is shared through the summation node, the parasitic capacitance of the driving circuit is reduced when the driving circuit outputs a third PAM4 type current signal, and therefore the driving circuit can output the third PAM4 type current signal. Concentrated superposition of heavy loads at the output end of the second current summing module is avoided, and therefore power consumption of the driving circuit is remarkably reduced.

The invention discloses a high-precision integrated temperature sensor circuit and application, and relates to the technical field of integrated circuits, and the high-precision integrated temperature sensor circuit comprises a band-gap reference circuit, a buffer circuit, an analog-to-digital conversion circuit, a two-phase non-overlapping clock generation circuit and an FIR (Finite Impulse Response) digital filter. It needs to be explained that a key circuit sigma-delta modulator adopts an integrator cascade feed-forward structure CIFF, compared with a CIFB with a feedback structure, an STF function of an ADC of a feed-forward structure is close to 1, a peak value can appear only at a high frequency, only a very small error signal can pass through a whole loop, and therefore the stability of the analog-to-digital converter is greatly improved. Therefore, the gain of the amplifier in the first-stage integrator can be made relatively large, and noise and nonlinearity generated by the rear-stage integrator are effectively suppressed. Moreover, each stage of integrator does not process a feedback signal with high-frequency noise, so that the bandwidth requirement on the next stage of operational amplifier is reduced, the power consumption required by the CIFF structure is lower, and meanwhile, the output swing has better stability due to no feedback structure.

The invention provides a memristor neural network cloud edge collaboration method and a memristor neural network cloud edge collaboration system based on multi-mode sensing. The method belongs to the field of artificial intelligence multi-modal data processing. The method mainly comprises the following steps: distributing multi-modal data subjected to synchronous acquisition and time-space alignment to an FPGA (Field Programmable Gate Array) and a memristor array for parallel processing; splicing the processed multi-modal data in a channel dimension to generate a multi-channel fusion feature tensor; a memristor array is used for carrying out storage and calculation integrated calculation on the multi-channel fusion feature tensor, and an advanced feature map is output; receiving a differential update packet issued by the cloud, and selectively updating the weight in the memristor array according to the update packet; and carrying out in-situ fine tuning on partial weights in the memristor array based on locally acquired data. According to the method and the constructed system, the memristor array can be effectively compensated, the calculation precision is improved, and rapid self-adaption of a local scene and continuous and efficient iteration of global knowledge are achieved.

The invention discloses an ultrasonic full-focusing full-matrix data compression method which is based on the following steps: in a full-matrix acquisition process, because the distance between two adjacent array elements is very close, after the two adjacent array elements are excited, echo data sampled by all the array elements have extremely strong correlation; therefore, by calculating the residual error of the echo data of the two adjacent continuous array elements, as the correlation of the echo data acquired when the two adjacent continuous array elements are excited is very strong, a lot of small data exist in the difference value, and the FMC data can be greatly compressed in a lossless manner by adopting exponential Golomb coding on the difference value; therefore, the requirement of data transmission on bandwidth can be reduced, so that the real-time requirement of detection is met; and under the same data bandwidth, more full-matrix acquisition data can be transmitted, so that the frame rate of FMC full-focus imaging is improved.

The present invention discloses an infrared highway foreign body detection method based on Mamba architecture, comprising: continuously collecting data of highway scenes under different lighting conditions and different weather conditions through infrared sensors to obtain infrared image data, preprocessing the infrared image data through data augmentation to generate training data, and dividing the training data into training set, test set and verification set in proportion; constructing a detection network based on Mamba architecture, including a student network and a teacher network; training the teacher network through back propagation based on the training set; training the student network based on the results of the teacher network and real data to obtain a target detection network; inputting the image to be identified into the target detection network to obtain the detection result. Rapid and accurate identification of potential dangers is achieved, and the powerful processing capability of the infrared imaging technology and the Mamba framework is combined to ensure high detection accuracy, achieve real-time response to foreign body threats, and significantly improve the efficiency and safety of highway monitoring.

The invention discloses a multi-energy complementary power distribution control method, belongs to the technical field of electric power system control, and aims to solve the problems that an existing multi-energy system control method based on periodic instruction issuing is heavy in communication burden, response lags when sudden disturbance is dealt with in two scheduling intervals, and the power distribution efficiency is poor. And the operation economy and the dynamic stability are difficult to consider at the same time. The method comprises the steps that an upper-layer optimization controller generates virtual impedance potential field function parameters and key topological characteristics and issues the virtual impedance potential field function parameters and the key topological characteristics to a local controller; the local controller executes power control based on the potential field gradient and monitors the topological position of the operation point; when a topology crossing event is detected, an asynchronous event triggering signal is sent upwards, and an upper-layer controller is triggered to carry out aperiodic re-planning. According to the method, decoupling of economic optimization and dynamic control is realized, the robustness and the adaptive capacity of the system under disturbance are improved, meanwhile, the communication burden is reduced, and the method is suitable for a system containing a large amount of distributed energy.

The embodiment of the invention provides an animation digital person generation method and electronic equipment, and the method comprises the steps: obtaining a preset text, and converting the preset text into an audio data stream corresponding to an animation digital person; based on the audio data stream, generating an action data stream corresponding to the animation digital person; packaging the audio data stream and the action data stream into a data packet; the action data stream is used for indicating at least one of the facial emotion and the limb action of the animation digital person; and transmitting the data packet to the second electronic equipment, so that the second electronic equipment generates an animation digital person based on the personalized configuration, the digital person model and the data packet. According to the embodiment of the invention, the audio data stream and the action data stream of the digital person are generated through the electronic equipment, and the animation digital person is generated by the other electronic equipment based on the audio data stream, the action data stream, the digital person model and the personalized configuration, so that a user can perform custom configuration on the digital person.

The invention discloses an unmanned aerial vehicle-mounted MIMO-SAR intelligent information processing device, and the device comprises an MIMO antenna array which is used for transmitting and receiving radar signals at different angles; the signal processing unit is used for performing amplification, filtering and analog-to-digital conversion on the received radar signal; the SAR imaging module is used for generating a high-resolution ground image according to the processed signal; the intelligent information processing module is used for automatically identifying and analyzing a target in the SAR image; the aircraft control module is used for adjusting a flight path and radar parameters so as to optimize the imaging quality; and the data transmission module is used for transmitting the processed data to a ground control center in real time. The device can be suitable for various application scenes including military reconnaissance, topographic mapping, disaster assessment, environment monitoring and the like, has wide adaptability and flexibility, and has high market competitiveness in unmanned aerial vehicle application.

The invention provides a rail transit vehicle-mounted big data storage, analysis and transmission device and method.The big data storage, analysis and transmission device is arranged in a 3U case and comprises a dual-power module, a communication module, a CPU module, a PHM module and a safety module; the communication module is in data communication with a train control network, train control network data collection is achieved, and the collected data are sent to the CPU module through the Ethernet. The CPU module monitors the health state of each module and communicates with a train control system through the communication module; the PHM module realizes data interaction with each system through an Ethernet interface, realizes storage of system state diagnosis data, performs data interaction with the CPU module through the Ethernet, and displays storage of train control data; and an Ethernet security isolation module established by the security module realizes security protection between the vehicle internal network and the ground network. According to the invention, collection of big data of the train is realized, collection and transmission of monitoring data of an intelligent train system are realized to the greatest extent, a safe and reliable data transmission method is provided, and sufficient data support and a safe data transmission strategy can be provided for an intelligent train operation and maintenance system.

The present invention discloses an industrial automatic control data processing system and method based on digital twin, which belongs to the field of industrial automation control technology. The present invention establishes a connection between the edge side and the cloud center through the edge side management module, automatically collects industrial data through the edge collection node, and stores the collected industrial data in the edge device; sends a data request to the cloud center through the data mapping module, and the cloud center receives the industrial data uploaded by the edge side and maps the received industrial data in the digital space based on the digital twin technology; analyzes and feedbacks the data collection status of the edge side through the cloud processing module; updates the data collection strategy of the edge side according to the analysis results fed back by the cloud center through the collaborative control module, and transmits the updated data collection strategy to the edge device, and adjusts the data collection business of the edge collection node. The data in the industrial production process is processed more flexibly, which reduces the resource consumption of operation and maintenance.

A data quantization method and device, a computer readable storage medium and a chip, the data quantization method comprising: obtaining a data block to be quantized, dividing the data block to be quantized into one or more data groups to be quantized according to a preset grouping method; performing quantization calculation on each data group to be quantized according to a target quantization format, to obtain quantization data corresponding to data in each data group to be quantized and quantization metadata corresponding to each data group to be quantized, wherein the quantization metadata is used for dequantization of the quantization data; and storing the quantization metadata corresponding to the data block to be quantized and the quantization data as a continuous data structure.

The application provides a lightweight variable bit rate multi-view image compression method and system, and relates to the technical field of image compression. The method comprises: downsampling, feature extraction and feature scaling of a single-view image to obtain a latent representation corresponding to a target bit rate; quantization and lossless entropy coding of the latent representation to obtain a final compressed bit stream; subsequent lossless entropy decoding and inverse scaling to restore the latent representation; feature fusion and upsampling of the restored latent representations of different views to generate a reconstructed compressed image. The model comprises a main encoder, a feature scaling module, a quantization module, an autoregressive entropy model, an arithmetic encoder, an arithmetic decoder, a feature inverse scaling module and a decoder. The application can efficiently compress image data, reduce computational complexity and storage space occupation while preserving image details and quality, thereby providing faster speed and lower bandwidth requirement for image transmission and storage.

The present invention discloses a control system and a control method for a double-clamped zero-voltage switching converter, the system includes a signal controller and a synchronous rectification controller, the signal controller includes a first signal generating unit and a second signal generating unit, the first signal generating unit is used to generate control signals for the first switch tube, the second switch tube and the fourth switch tube in the converter circuit, the second signal generating unit determines whether the power transformer is completely magnetically reset according to the detection signal of the primary port voltage of the power transformer in the converter circuit, and then generates a control signal for the active clamp tube in the converter circuit, and the synchronous rectification controller is used to output the control signal of the fifth switch tube in the converter circuit. The present invention does not require isolated signal transmission, can effectively improve the power density of the converter, and the controlled circuit is simple and can be fully integrated in the digital control chip, without occupying the volume of the converter.

The invention discloses a closed-loop bill printing control method and system based on data verification and compression. According to the method, transmission of the control instruction is optimized by adopting a table look-up method, the data volume is reduced, intelligent compression is carried out on the control instruction through a contrast mark compression method, and only changed data content is transmitted. The power-on negotiation mechanism ensures the consistency of data templates between the printer and the upper computer. Closed-loop control logic monitors data transmission in real time, an alarm is given once abnormity is found, and smooth proceeding of a printing task is guaranteed. According to the invention, the printing efficiency is improved, the data transmission error rate is reduced, and the data security and reliability are enhanced.

The embodiment of the present invention provides a dynamic BOTDA sensing method and system based on injection-locked high-order sideband output. The method includes: the laser output by the light source is divided into a first sub-beam and a second sub-beam; a channel of the arbitrary waveform generator generates a pulse signal, which is loaded into the first sub-beam through a first electro-optical modulator, and modulated from continuous light to pulse pump light to enter the optical fiber to be tested; another channel of the arbitrary waveform generator generates an arbitrary wave signal, and the second sub-beam is modulated by a second electro-optical modulator to generate multi-order sidebands, each order sideband enters the slave laser to lock the preset sideband, obtains the detection light that locks the preset sideband and enters the optical fiber to be tested to generate stimulated Brillouin scattering with the pulse pump light to receive the generated scattered light; each scanning frequency of the arbitrary wave signal corresponds to each pulse of the pulse signal. The above-mentioned technology of the present invention can reduce the arbitrary wave bandwidth requirement by one order of magnitude in dynamic measurement because the high-order sidebands are injection-locked.

The present invention discloses a RISC-V-based special processor for post-quantum cryptographic algorithms, which adopts a superscalar pipeline design with separation of reading, writing and computing, and has two pipelines, reading and writing and computing, which can be executed in parallel, including an instruction fetch part, a decoding part, an execution part, a write-back part and the like. The parallel computing unit module contained in the execution part is implemented by adopting component reorganization technology and operator fusion technology, and the same components are used to implement core operations of post-quantum cryptographic algorithms of different computing types and bit widths, thereby reducing the hardware resource overhead of the processor and accelerating the computing speed. The parallel computing unit module and the parallel register module contained in the processor constitute a parallel storage system and data flow with mixed bit widths, which balances the loads of the two pipelines of computing and reading and writing and reduces the bandwidth.