1254 results about "Low delay" patented technology

The invention belongs to the technical field of data transmission, and particularly relates to an SD-WAN low-delay data transmission method and system based on edge computing, a plurality of edge computing nodes are deployed in an SD-WAN architecture, and the edge computing nodes are distributed on a network edge side, close to terminal equipment or a branch mechanism and have data preprocessing and local computing capabilities; monitoring network state parameters of each link in the SD-WAN in real time, wherein the network state parameters comprise delay, bandwidth, packet loss rate and computing resource utilization rate of edge nodes; routing to-be-transmitted data to the target edge node, and if the node has local processing capability, executing data preprocessing or caching operation; otherwise, forwarding the data to an adjacent edge node or a cloud data center; a distributed cache strategy is adopted, when network congestion is detected according to data access frequency and timeliness requirements, non-real-time data is temporarily stored in a local cache, and asynchronous transmission is executed after a link is recovered, so that the method has the effect of providing higher-quality and more reliable network service for a user.

The invention discloses a low-delay adaptive wireless audio transmission method, and relates to the technical field of audio data transmission. The invention relates to a low-delay self-adaptive wireless audio transmission method, which comprises the steps of audio signal acquisition and coding, priority scheduling and time slot allocation, wireless channel transmission and interference resistance, congestion control algorithm optimization, decoding and reconstruction of a receiving end, and dynamic buffer management and delay optimization. According to the method, low-delay transmission of audio signals is ensured through a plurality of technologies such as priority scheduling, time slot allocation, dynamic buffer management and adaptive coding, the stability of audio transmission is remarkably improved by combining congestion control, forward error correction (FEC) and adaptive interference elimination technologies, and even in a complex wireless environment, the stability of the audio transmission is greatly improved. And the audio signal can keep high quality, and the transmission stability is ensured by quickly responding to channel change, eliminating interference, correcting errors, reducing packet loss and retransmission.

The invention relates to the technical field of communication, in particular to a low-delay data transmission system and method for marine observation data, and the system comprises a data collection module which collects the multi-modal data of a marine environment, and carries out the priority classification of the data according to the real-time performance and importance; the route optimization module dynamically adjusts a multi-path fragmentation strategy and single-path task distribution in combination with a reinforcement learning algorithm and path optimization data; the communication module supports multi-mode communication modes such as laser communication and low-orbit satellite communication, and monitors the link state in real time; and the data fusion and analysis module performs dimension reduction, fusion and real-time analysis on the data by using manifold learning and a graph neural network, and meanwhile, predicts a long-term trend through time sequence analysis to generate observation report data. The method effectively reduces the transmission delay of high-priority data, improves the response efficiency of the system to abnormal events, and is suitable for the scenes of marine disaster early warning, environment monitoring and the like.

An example method includes receiving input requests to process a plurality of input sequences using the machine-learned sequence processing model to generate a plurality of output sequences respectively corresponding to the plurality of input sequences; generating a plurality of initial attention tensors respectively for the plurality of input sequences, wherein: one or more respective initial attention tensors are generated for each respective input sequence in parallel over input elements of the respective input sequence; and the one or more respective initial attention tensors are generated in one or more batches having a first batch size using a prefill system that comprises one or more prefill computing devices and executes one or more layers of the machine-learned sequence processing model; and autoregressively generating, using the plurality of initial attention tensors, a plurality of output elements for each of the plurality of output sequences in one or more batches having a second batch size, wherein: the plurality of output elements are generated using a generation system that comprises one or more generation computing devices.

The invention relates to the technical field of information processing, in particular to an electronic information dynamic scheduling and management system and method, and the system comprises a data flow dynamic monitoring module, a dynamic window adjustment module, a data distribution module and an instruction flow recombination module. According to the invention, the adaptability and flexibility of data processing are improved by monitoring the data flow in the electronic information in real time and carefully analyzing the size and type change, and the dynamic adjustment of the data processing window is realized by identifying the peak value and valley value of the flow and analyzing the flow fluctuation amplitude. By analyzing the dependency relationship and potential delay between execution instructions and re-arranging the instruction execution sequence, the system can more effectively distribute the load of a processor core, reduce the delay and enhance the processing speed, thereby not only optimizing the management of electronic information flow, but also enhancing the adaptive capacity of the system to a complex data environment, and improving the user experience. And a more efficient and safer information processing platform is provided.

The present invention relates to a delay guarantee method for a cloud PLC service in a 5G-TSN architecture, comprising: adding a service priority mapping function, a priority queue management function and a radio resource scheduling function in a 5G-TSN network, wherein a method for priority allocation of radio resources for a cloud PLC industrial control service comprises: collecting statistics about queue data volume, feeding back wireless channel quality, calculating required radio resources and allocating the radio resources. According to the present invention, a 5G network delay is reduced, intermediate cables and devices are reduced, the moving range of a device terminal is expanded, a cloud PLC service is given priority allocation of resources at a radio air interface, and in a multi-service hybrid transmission scenario, the proposed algorithm can obtain lower delay compared with an algorithm which does not provide guarantee. A virtual communication interface is flexibly connected to multiple protocols, multi-manufacturer device interconnection is supported, cloud cooperative control is achieved, the production efficiency is improved, a 5G-TSN network bears multiple services at the same time, delay deterministic guarantee is provided for industrial control services, and the deployment complexity of an industrial field network is reduced.

The invention relates to a multi-protocol intelligent terminal interaction method and system based on AI dynamic allocation, and the method comprises the steps: obtaining communication demand data, and generating sorting data; protocol stack self-adaptive scheduling and path switching are carried out in FPGA hardware; optimizing multi-protocol parallel transmission to obtain a low-delay data stream; constructing a load prediction model based on reinforcement learning and dynamically allocating resources; terminal interaction is carried out through cooperative adjustment of computing power and radio frequency power, so that the purposes of low-delay and high-energy-efficiency communication and complex environment adaptation of the intelligent terminal in a multi-protocol scene are achieved.

This disclosure provides methods, components, devices and systems for low latency channel access. Some aspects more specifically relate to preemption of existing transmission opportunities (TXOPs) such that devices with low latency traffic to transmit may access the communication medium to transmit low latency traffic. Short physical layer protocol data units (PPDUs) may be used within TXOPs with interframe spaces between the PPDUs such that a device with low latency traffic may transmit a preemption indication during the interframe space. A first wireless communication device may identify low latency traffic during a first PPDU of a TXOP assigned to a second wireless communication device. The first wireless communication device may transmit a preemption indication in an interframe space that indicates that a subsequent scheduled PPDU in the TXOP will be preempted in order for the first wireless communication device to transmit a PPDU to convey the low latency traffic.

The invention discloses an intelligent operation and maintenance system, method and equipment for steam turbine lubricating oil and a storage medium, and relates to the technical field of industrial digital intelligent operation and maintenance. Zero loss and low delay of data are guaranteed through the data transmission module, and the data fault problem of traditional manual meter reading is solved; static parameters are converted into dynamic trend, residual life and abnormal early warning through a hybrid model of a visual cloud operation and maintenance module, and intelligent conversion from data to decision is realized; and the oil filtering execution module automatically responds to the instruction to complete closed-loop treatment from polluted oil liquid to clean oil liquid without manual intervention, so that real-time monitoring and intelligent analysis of the running state of the steam turbine are realized, an oil filtering system is automatically started when a set threshold value is reached, the oil liquid is ensured to be in a normal state, the maintenance cost is reduced, and the operation and maintenance efficiency is improved.

The invention discloses a low-delay self-adaptive audio transmission method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: dynamically recognizing an optimal transmission path in wireless dual bands based on an intelligent band detection and self-adaptive channel selection mechanism; decomposing the target audio data through a hierarchical coding algorithm, and executing self-adaptive adjustment of a differential transmission strategy and a quantization parameter; the dual-band performance is monitored in real time based on a load balancing algorithm, the decomposed transmission tasks are dynamically allocated, and path switching is triggered when it is monitored that the transmission quality of the current band is abnormal; the future buffer requirement is predicted based on a predictive buffer algorithm, the size of a buffer area is dynamically adjusted according to the actual playing condition and the network state change so as to ensure the playing continuity and minimize the delay, the technical bottleneck of traditional single-frequency wireless audio transmission is broken through, an effective frequency band coordination mechanism is realized, resource waste or transmission conflicts are avoided, and the transmission efficiency is improved. And the double-frequency advantage is fully exerted.

The invention provides a PCIe-NTB (Peripheral Component Interconnect Express-Network Temporary Block)-based P2P (Peer-to-Peer) communication method and system between IO (Input / Output) devices, the system comprises a plurality of computing nodes, and the computing nodes comprise a PCIe Switch, an NTB and a plurality of PCIe IO devices; the plurality of PCIe IO devices are connected with the CPU through the PCIe Switch; the NTB is connected with the PCIe Switch; the PCIe IO equipment at least comprises two different types of IO equipment, namely an IO equipment type 1 and an IO equipment type 2; the plurality of computing nodes are connected through the NTB; the system supports P2P communication between IO device types 1 or between IO device types 1 and IO device types 2 of different computing nodes. In the scheme, P2P communication can be directly carried out among IO devices of a plurality of computing nodes on the basis of PCIe-NTB, protocol conversion overhead and main memory and IO device memory moving overhead required by traditional NIC RDMA communication are avoided, and the characteristics of low delay and high throughput of a PCIe network can be fully utilized.

The invention provides an optical-electric hybrid ultra-low time delay communication method and system, and relates to the technical field of communication, and the method comprises the steps: outputting a global synchronous clock signal with clock jitter less than 1ppm, dynamically dividing micro time slot resources in an orthogonal frequency division multiplexing symbol period, and generating a dynamically adjusted micro time slot resource distribution result; calculating an optimal phase offset matrix of the metasurface intelligent reflecting surface through a depth deterministic strategy gradient algorithm to obtain an optimized electromagnetic wave propagation path; generating a global optimization check matrix by aggregating the locally trained lightweight error correction model gradient of each node to obtain a compensated data stream; and constructing a causal graph model dynamic pruning high-entropy path to minimize causal entropy, through multi-agent reinforcement learning, taking time delay-energy efficiency as a game target to decide an optimal modulation order and a subcarrier switching strategy, and obtaining an optimized stable communication link. According to the invention, high-reliability and low-delay communication basic support is provided for high-precision intelligent manufacturing.

The invention discloses a video stream adaptive low-delay real-time transmission method and system based on edge calculation. The method comprises the following steps: receiving a real-time video stream from a network camera, creating a pipeline queue, adding timestamp information for each video frame, and setting a queue protection mechanism; the coded video frames are taken out from the input queue, and the frames in the video are processed through hardware acceleration decoding; the resource use condition of the system is monitored in real time; executing a self-adaptive frame skipping decision according to a performance monitoring result; timestamp generation: dynamically calculating a timestamp interval according to an actual processing frame rate; receiving the decoded original video frame and the corresponding timestamp information, accelerating decoding by using hardware, and executing a video coding operation; and packaging and transmitting the coded video data, and providing a standard protocol interface to be connected with a client for playing. According to the scheme, stable low delay and relatively low resource occupation can be kept, and meanwhile, the video quality is remarkably improved.

The invention discloses a memory prefetching control method and device, a storage medium and a program product, and relates to the technical field of computers. A heterogeneous logic model covering multiple access modes is constructed, a prefetch strategy candidate set is generated based on standard logic models corresponding to different access modes, the expression limitation of a single model on complex multi-mode access features is broken through, and access laws in different scenes can be comprehensively covered; through calculation, sorting and screening of the prefetch cost, targeted evaluation of the strategy is realized, bandwidth load aggravation and resource waste caused by redundant prefetch are avoided, and optimization of the target prefetch strategy in the aspects of low delay and high bandwidth utilization rate is ensured. According to the method and the device, the problems that a fixed logic model is difficult to adapt to dynamic diverse memory access behaviors and resource utilization is low in efficiency in the prior art are solved, and the technical effects that the method does not need to depend on fixed logic, can dynamically adapt to the change of the access mode through flexible combination and strategy screening of heterogeneous models, and is particularly suitable for terminal equipment with limited resources are achieved.

The invention provides an RDMA data transmission method, network equipment and a system, and relates to the technical field of communication, in particular to the technical fields of chip processors, computing power clusters, ensemble communication operation, large models and the like. The method is applied to a network device comprising an xPU and an RNIC, the xPU comprises a first engine, and the RNIC comprises a second engine communicating with the first engine, a WQE Buffer and an RDMA engine communicating with the second engine. The method comprises the steps that a first engine assembles a WE based on a hardware unloading asynchronous copy instruction set and transmits the WE to a second engine; the second engine stores the WE in a WQE Buffer and transmits the WE to the RDMA engine; the RDMA engine executes data processing based on the WE, wherein the data processing comprises data transmission, memory access and queue management; the first engine receives feedback of data processing transmitted via the second engine. The RDMA data transmission task is directly unloaded to the special engine through the hardware asynchronous instruction set, decoupling of the RDMA data transmission task and computing resources of the system is achieved, and an efficient and low-delay RDMA data transmission solution which does not depend on CPU / GPU resources is provided for data transmission intensive scenes such as an MoE model.

The invention provides a multimode communication network dynamic scheduling system fused with AI computing power, which belongs to the technical field of communication equipment and artificial intelligence hardware fusion, and is characterized in that based on a four-layer hardware architecture of'core control-computing power support-multimode communication-high-speed interconnection ', an interconnection layer is constructed by adopting high-speed interfaces such as PCIe / SGMII + and the like, and inter-module fault is realized; 10ms low-delay data transmission is realized; the AI computing power module integrated with the 8TOPS NPU is deeply coupled with the multi-mode communication module, and the AI computing power module is quantized and compressed through an LSTM / Transform model and then solidified to an NPU special storage to realize scene self-adaptive scheduling; a'acquisition-identification-decision-feedback 'hardware closed loop is established, the communication interruption rate is reduced in an emergency scene, the overall power consumption is reduced, and AI reasoning is delayed. Through breakthrough hardware architecture design, AI computing power and a multi-mode communication module are deeply integrated, an intelligent communication resource scheduling system is constructed, and dynamic optimal configuration of communication resources in multiple scenes can be realized.

The invention relates to the technical field of audio control, and discloses a low-delay audio input switching method and system, a storage medium and equipment, and the method comprises the steps: carrying out the parallel pre-initialization of a plurality of pieces of audio input equipment, and building an independent parallel audio data cache for each piece of equipment; monitoring the state of each audio input device and the audio stream quality in real time, and judging whether switching is triggered or not based on a multi-factor decision model; after the switching decision is triggered, seamless audio data stream switching is executed, and format unification processing and cross fade-in and fade-out transition are included; a unified equipment operation interface is provided through the hardware abstraction layer, and system resources are optimized and managed; a delay sensing closed-loop control mechanism is constructed, processing delay of each link is monitored in real time, a caching strategy, a processing algorithm and resource allocation parameters are dynamically adjusted, self-adaptive balance of low delay and high tone quality is achieved, and through the method, quick and smooth switching of audio input equipment is achieved, delay is remarkably reduced, and real-time audio experience is improved.

The invention relates to the technical field of wireless communication, and discloses a communication equipment command and dispatch system based on artificial intelligence, the system maps the state of communication equipment into a standardized carrier phase disturbance mode, and after the disturbance mode is adaptively adjusted in combination with channel noise perception and conflict arbitration logic, the communication equipment is commanded and dispatched. Controlling the radio frequency front end to carry out injection; the adjacent communication equipment directly detects the disturbance mode to trigger the cooperative scheduling action by monitoring the physical error signal of the carrier synchronization loop of the adjacent communication equipment, and the implicit cooperative mode based on the physical layer beacon is constructed, so that the complex high-level signaling interaction required by the traditional scheduling is avoided, and the scheduling efficiency is improved. According to the method, the millisecond level, determined by a software protocol, of the collaborative response time between the devices is substituted into the microsecond level determined by the hardware physical layer response entscheid, the system can still maintain reliable transmission of scheduling instructions when facing high-density concurrent conflicts and strong channel noise, and a technical implementation path is provided for ultra-low-delay and high-reliability communication.

The invention provides a voice replication and low-delay streaming voice synthesis method and system based on an ultra-short sample, relates to the technical field of artificial intelligence, and is suitable for intelligent interaction, outbound service and multi-mode communication scenes. Deep personalized customization of intelligent voice interaction and real-time generation of ultra-low delay are realized, and bidirectional streaming interaction of a system level is supported, so that the fluency and response speed of dialogues are improved; an ultra-short sample sound duplicating module specially designed for processing ultra-short audio samples and a speech synthesis engine with ultra-low delay and bidirectional streaming output capability are integrated, and the capabilities of the ultra-short sample sound duplicating module and the speech synthesis engine are applied to a real-time and interactive intelligent speech interaction process to form a complete and efficient solution. The industrial pain point is directly solved in a targeted manner, and the method has important commercial application value.

The invention belongs to the technical field of network self-adaption, and particularly relates to a weak network self-adaption algorithm system based on dynamic network monitoring, which comprises the following steps of: deploying a monitoring agent on a network node; extracting network bandwidth, delay and packet loss rate from the network state report, preprocessing the extracted data, and extracting feature vectors from the preprocessed data; adjusting the size of a buffer area for data transmission according to the network bandwidth and delay; and controlling the sending and receiving of data according to the adjusted algorithm and parameter, monitoring the data transmission state in real time in the data transmission process, feeding back the data transmission state information, and adjusting the algorithm and parameter in time according to the feedback information. The problem of how to improve the efficiency and reliability of data transmission under the conditions of complex and changeable network environment, low bandwidth, high delay, serious packet loss and the like in the prior art is solved.

The invention discloses a dynamic batch processing method and device for reasoning requests, electronic equipment and a storage medium, relates to the technical field of computers, and aims to learn and obtain an optimal batch processing strategy by utilizing a dynamic batch processing reward algorithm of reinforcement learning, dynamically adjust the batch processing amount of the reasoning requests and improve the efficiency of batch processing of the reasoning requests. The reasoning request processing efficiency and the resource utilization rate are remarkably improved, the training and reasoning progress is accelerated, the resource utilization rate and the reasoning response speed are improved, the real-time performance index is monitored and obtained to dynamically adjust the optimal batch processing strategy in the process that the reasoning node executes the reasoning request, data changes are adapted, and the reasoning efficiency and the reasoning response speed are improved. The method is suitable for reasoning scenes requiring high throughput, low delay and high resource utilization rate, so that the technical problem of low resource utilization rate or response delay increase caused by static batch processing in the face of request quantity fluctuation or data distribution change can be solved, and resource management and scheduling are more efficient and unified.

A low-delay multi-protocol intelligent lighting synchronization system based on a unified abstraction layer comprises the steps that an instruction from a multi-protocol bridging module is received, and network round-trip time data of terminal equipment is acquired through an active detection mechanism; based on the network round-trip time data, adopting a Kalman filtering algorithm to construct a delay prediction model so as to predict the future network delay of the terminal equipment; inputting the instruction into a third-stage buffer area for processing, and dynamically adjusting the trigger frequency of the active detection mechanism according to the load state of the third-stage annular buffer area; calculating queue delay of the buffer area according to the received load state of the buffer area, and obtaining final sending time of the instruction in combination with future network delay of the terminal equipment; and at the final sending time, sending the instruction from the sending buffer area to the corresponding terminal equipment. According to the system, low-delay and high-stability synchronization of cross-protocol equipment in the field of intelligent illumination is realized.

This disclosure provides methods, components, devices and systems for access point (AP)-aided downlink transmission opportunity (TXOP) preemption by stations (STAs) with low-latency uplink traffic. Some aspects more specifically relate to how a STA transmits a preemption indication (PRI) associated with a signature of the STA and how an AP, via reception of signature-based PRIs, may obtain information relating to which specific STAs have low-latency traffic ready for uplink transmission. Such signatures may relate to a resource allocation, such as a tone pattern, used to transmit at least a portion of a PRI. In some examples, the AP transmits a preemption scheduling (PRS) frame that includes channel access information, for each of the STA(s) that sent a PRI, associated with a downlink TXOP of the AP. Such channel access information may include at least a grant of permission for STA(s) to attempt uplink preemption of the downlink TXOP.

The invention provides a low-delay transmission method and system for realizing virtual-real fusion of intelligent Internet of Things and meta-universe, and relates to the technical field of meta-universe level, and the method comprises the steps: obtaining and classifying physical world data, building a mapping relation between a data stream and a virtual space, constructing a double-layer data processing architecture, and setting different transmission priorities. And monitoring network quality in real time and starting a data compensation mechanism. According to the method, real-time interaction between the physical world and the virtual space can be realized, the data transmission efficiency and stability are improved, the system delay is reduced, and the immersion experience of a user is enhanced.

The invention discloses a lattice-based cryptographic algorithm-oriented side channel attack-resistant NTT circuit, which comprises a control unit, which is mainly used for controlling the enabling of a bottom layer component in the structure and the data flow direction among modules; the storage unit is used for storing the coefficient, the random twiddle factor address and the twiddle factor; the address generation unit is used for calculating and generating a storage RAM (Random Access Memory) address of a twiddle factor participating in operation and a read address required by the coefficient storage unit; and the coefficient transposing unit is used for realizing coefficient reading meeting the index distance among all NTT stages. According to the side channel attack resisting NTT circuit oriented to the lattice-based cryptographic algorithm, when a low delay base-4CT / GS butterfly unit is masked, the increment of modular multiplication resources is reduced, and the resource consumption is remarkably reduced while high security is kept.

The invention discloses an automatic feeder fault processing method based on a 5G network, and the method improves the fault processing capability of a power distribution network through the high speed, low delay and high safety of the 5G communication network, can quickly position a fault region through the information exchange between power distribution terminals in combination with the fault signals of the power distribution terminals and adjacent terminals, and improves the fault processing efficiency. Therefore, quick isolation of a fault section is achieved, when a fault occurs, the power failure range is controlled within the minimum range, the power failure time is shortened, fault positioning and control decision making are completely and autonomously completed by the power distribution terminal, the whole processing process does not depend on a power distribution main station, and the main station only needs to receive a fault processing result afterwards; according to the method, the network topology structure can be automatically updated when part of power distribution terminals have communication faults, the operation states of all nodes and circuit breakers in a power distribution line can be monitored in real time, remote measurement can be conducted on voltage, current, power factors and the like, and operation parameter curves of all the nodes can be displayed in real time.

The invention relates to the technical field of drivers, and discloses a low-delay control method, system, equipment and medium for a gallium nitride gate driver, and the method comprises the steps: carrying out the feature extraction and nonlinear mapping processing of the driving voltage, gate charge and switching time sequence parameters of the gate driver, and obtaining time domain characteristic data and a parameter distribution model; duty ratio modulation function calculation is carried out to obtain a rising edge duty ratio parameter and a falling edge duty ratio parameter; performing dynamic planning solution on the state transition equation to obtain an optimal control sequence; performing driving control on a gate driver according to the optimal control sequence, and acquiring running state data through a plurality of monitoring points to obtain an actual driving delay value and an actual switching loss value; the Gaussian process model is constructed based on the actual driving delay value and the actual switching loss value, the updated control parameters are obtained through iterative sampling calculation, the optimal control sequence considering multivariable constraints is obtained, and the accuracy of driving control is remarkably improved.

A first communication device that is configured to communicate with a second communication device comprises circuitry configured to receive a low latency, LL, indication from the second and / or third communication device, which indicates to the first communication device that transmission of a second LL information by the first communication device is allowed; and transmit second LL information to the second communication device during and within the bandwidth of an ongoing transmission of a data unit from the third communication device to the second communication device, wherein the second LL information indicates to the second communication device that the first communication device has LL data to transmit to the second communication device.

The invention discloses a time division duplex multi-carrier synchronous transmission method based on 5G, which relates to the technical field of communication, and comprises the following steps of: establishing a carrier mapping table, respectively mapping a plurality of logic carriers to predefined physical resource blocks, and marking uplink and downlink switching time slots according to a time division mode; after a user terminal receives a synchronization signal, alignment is carried out through a high-precision local clock and the reference time of a main base station, and a synchronization reference point is recorded with a nanosecond-level time resolution. According to the invention, through the dynamic synchronization control and frequency domain interference suppression technology, the synchronization stability and the data transmission reliability in a high-speed scene are significantly improved; a synchronous load scoring mechanism is introduced to realize efficient scheduling and conflict avoidance of synchronous resources in a multi-user concurrent environment; and in combination with interference weight estimation and an adaptive filtering strategy, the anti-interference capability and environment adaptability of the system are effectively enhanced, and the requirements of key services such as the Internet of Vehicles and industrial control on low-delay and high-reliability communication are comprehensively met.

The invention belongs to the technical field of computer storage, and particularly relates to a solid state disk data management and efficient storage distribution method, which comprises a data characteristic sensing and classifying unit, a data characteristic sensing and classifying unit, a data processing unit, a data storage unit and a data distribution unit, wherein the data characteristic sensing and classifying unit is configured for analyzing write-in request data flow entering a solid state disk in real time or periodically, extracting various characteristic parameters associated with data blocks and storing the data blocks; classifying the data on the basis of the characteristic parameters, and distributing one or more data classification labels for each data block to be written or stored; and the self-adaptive storage allocation strategy unit is configured to be used for dynamically selecting an optimal physical block for data writing according to the data classification label and in combination with the physical block state information of the current flash memory medium. According to the invention, the solid state disk can better adapt to various dynamic and variable workloads, and especially shows more excellent continuous write-in performance, lower delay jitter and obviously prolonged service life when processing a large amount of random write-in, small block write-in and write amplification sensitive applications.