893 results about "Buffer zone" patented technology

The invention discloses a cleaning path planning method and a cleaning device, and belongs to the technical field of automatic control, and the method comprises the steps: collecting the point cloud data of a to-be-cleaned region, constructing an initial composite map, setting a perception marking method, dividing the point cloud data into sub-regions, and marking a sudden change region after the sub-regions are matched with historical map features. Locally updating the composite map by using map optimization; constructing a safety buffer zone at the edge of the to-be-cleaned area, setting a buffer adjustment method, performing trajectory prediction on the abrupt change area, and dynamically adjusting a safety buffer distance according to a prediction result; calling a basic cleaning path, generating a layered path, setting a planning adjustment method, updating the layered path according to the abrupt change area in the cleaning process, calculating a pollution index of the to-be-cleaned area, constructing a time sequence prediction model, pre-judging a pollution diffusion trend, and performing dynamic adjustment; and after the to-be-cleaned area is cleaned, decision iteration is carried out to adapt to user habits.

The invention discloses an intelligent port cargo scheduling system and method based on the Internet of Things, relates to the technical field of intelligent port logistics scheduling, and realizes dynamic adaptive adjustment of a port scheduling strategy by constructing a full-chain linkage mechanism of real-time sensing, intelligent analysis, dynamic decision, accurate execution and closed-loop feedback. The system can automatically expand or contract the boundary of the storage yard buffer area according to the congestion index of the core operation area and ship tide prediction, and synchronously adjust the AGV and the yard bridge scheduling rule, in the peak tide period, the AGV preferentially guarantees the rapid transfer of cargoes in the core area, the efficiency loss caused by long-distance transportation is avoided, and the transportation efficiency is improved. In the low ebb backflow period, goods in the elastic storage area are actively moved to the core preparation area in advance, layout is conducted in advance for the follow-up operation peak, the dynamic scheduling mode can effectively cope with severe fluctuation of the port operation amount, all the operation links are kept efficient and cooperative all the time, and the adaptability and response capacity of the port in the complex operation environment are greatly improved.

The invention discloses a soft network system capable of expanding a transmission mode and an implementation method, and the system comprises an equipment resource mapping management unit which automatically generates a unique channel code based on a native hardware interface and establishes a multi-dimensional mapping relation; the heterogeneous interface data acquisition unit is used for monitoring various hardware interfaces in a kernel space in parallel and realizing zero-copy data transmission through a three-buffer lockless annular buffer area; the transmission abstraction and dynamic expansion unit realizes transmission mode modularization in a plug-in form and supports atomic hot plug during operation; the protocol analysis and service processing unit is used for realizing unified scheduling and fault isolation in a single process through a dynamic link mechanism; and the cross-layer monitoring and self-healing unit realizes automatic switching based on a session state machine and a redundant channel. According to the method, the code complexity is reduced from O (N * M) to O (N + M), and the time lt is extended; fault switching is carried out at 1s; and the hardware cost is reduced by more than 40%, so that the method is particularly suitable for power and environment monitoring scenes with more than 1000 devices and more than 15 protocols, and has high creativity.

The invention relates to the technical field of scheduling management, in particular to a dynamic production scheduling management system based on artificial intelligence, which comprises a task compression coefficient generation module, a task priority remapping module, a resource conflict index extraction module, a path broken link node identification module and an alternative task sequence construction module. According to the method, quantitative evaluation is performed on the task timeliness urgency degree through the time buffer region constructed by the latest starting time and the predicted execution duration of the task, the key task influencing the delivery node can be dynamically identified, so that the task priority relationship is not statically solidified any more, and potential link breaking points in the technological process are screened in combination with the path structure dependency relationship; a prediction trigger condition is constructed through a judgment node with the minimum structural sensitivity, a task replacement path is predicted by matching a process parameter group with a convolutional neural network model, a node with the minimum interference degree is screened to form a repair scheme path, and the plan failure risk caused by abnormal nodes is reduced.

The invention provides a universal measurement and control system data flow control bus architecture method and system, and relates to the technical field of measurement and control, and the method comprises the steps: distributing independent address spaces for a plurality of driving modules through a main control module, building a parameter mapping table and a buffer region, and enabling a plurality of test channels to share an interrupt signal and store the interrupt signal in an interrupt vector register; generating an interrupt signal based on a relationship between the buffer data volume and a threshold; sequencing according to the channel priority reference value, and dynamically adjusting the priority based on the load rate; and the main control module determines an interrupt source according to the interrupt vector and dynamically adjusts a prefetching strategy according to the measurement and control data flow. The system data processing efficiency and the resource utilization rate are improved.

The invention relates to a chemical plant dangerous area electronic fence generation method and system, and the method comprises the steps: obtaining the positioning data of a target person, the positioning data of production equipment, and the video monitoring data and environment sensing data of a target area, carrying out the recognition based on the video monitoring data, and obtaining the behavior data of the target person, the method comprises the steps of dividing a target area into virtual grids based on a dynamic grid algorithm, determining distribution of geographic features based on GIS geographic information of the target area, filtering impassable areas based on the distribution of the geographic features, aggregating and combining adjacent grids, generating a closed boundary, and establishing a risk level evaluation model to evaluate the risk level of each virtual grid. The boundary adjusting module is used for adjusting the minimum buffer area width of the closed boundary to obtain a final electronic fence boundary, and the electronic fence boundary is used for carrying out risk early warning. According to the invention, dynamic and accurate sensing and protection of the high-risk area in the chemical plant are realized.

The invention relates to the technical field of ecological restoration and carbon sink evaluation, and discloses a river and lake ecological buffer zone carbon sink potential evaluation and restoration construction system which comprises a carbon sink potential evaluation module, an intelligent restoration construction module and a collaborative verification module. The carbon sink potential evaluation module is used for collecting soil and vegetation data and calculating the carbon sink potential; the intelligent restoration construction module executes ecological restoration based on a carbon sink potential evaluation result; and the collaborative verification module verifies the repair effect through multi-source data fusion, and returns an optimization instruction to the carbon sink potential evaluation module and the intelligent repair construction module. The vegetation coverage index and the root biomass density are acquired by using a multispectral sensor array, a carbon sink model is constructed by combining the organic carbon content of soil, dynamic weight adjustment is introduced, and the weight is updated according to aerial survey data of an unmanned aerial vehicle in each quarter, so that a more accurate and more economical carbon sink potential evaluation basis can be provided for ecological restoration, and the ecological restoration efficiency is improved. And resource waste and invalid repair are avoided.

The invention discloses a self-adaptive dynamic routing method and system for an NoC (Network on Chip), and relates to the technical field of routing management. Comprising the steps that the local congestion degree of each routing node is collected through a communication link, the global congestion degree is generated through a weighted average mechanism, each routing node integrates delay counters in the east direction, the west direction, the south direction and the north direction according to a local router, the delay counters are used for monitoring the time interval when adjacent data packets leave a buffer area in real time, and the global congestion degree is generated; taking a time interval of leaving a buffer area of adjacent data packets as output delay, spreading the output delay to neighbor routing nodes, calculating local congestion degree and global congestion degree of the routing nodes, generating all possible shortest paths and a candidate direction set corresponding to output directions according to addresses of a source routing node and a destination routing node, and sending the candidate direction set to the destination routing node; screening an optimal path through the local congestion degree and the global congestion degree in sequence; and when a plurality of equivalent paths exist, the routing direction is randomly selected to balance the network load.

The invention provides an AGV obstacle avoidance path planning method and system for intelligent storage, and relates to the technical field of path planning. Comprising the steps of collecting warehousing data; constructing a map reflecting the topological structure of the storage space by adopting a topological map; obtaining an initial path by using a pruning optimized Dijkstra algorithm according to a set starting point and an end point; setting a repulsive force factor and a safe buffer area to optimize the initial path to obtain a secondary optimization path; and judging whether the environment is changed or not, and if so, recalculating a new obstacle avoidance path according to the secondary optimization path. According to the method, the initial path is constructed through the pruning optimized Dijkstra algorithm, the repulsive force factor and the safety buffer area are set to optimize the initial path, the overall efficiency and safety of warehouse cargo carrying are improved, and the adaptability of a warehouse system to complex environment changes is enhanced.

The invention belongs to the technical field of intelligent traffic monitoring, and relates to a vehicle track intelligent GIS electronic fence visualization system based on a GPS, and the system comprises a track data collection module which is used for obtaining the historical driving track point data of a plurality of vehicles in a preset time period; the aggregation area identification module is used for identifying a high-frequency aggregation area of the historical driving track point data; the elastic fence generation module is used for expanding a dynamic buffer area outwards by taking the boundary of the high-frequency aggregation area as a reference; the border crossing state judgment module is used for calculating the spatial relationship between the real-time position of the vehicle and the elastic electronic fence; the behavior analysis module is used for identifying repeated border-crossing road sections and high-incidence time periods; and the multi-source visualization module is used for overlapping and displaying the elastic electronic fence layer, the real-time vehicle position marking layer and the border-crossing thermodynamic layer on the GIS map. The problem that a closed-loop optimization mechanism based on data feedback cannot be formed is solved.

The invention provides a large-scale three-dimensional tunnel surrounding rock parameter random field model construction method and system, and relates to the technical field of tunnel surrounding rock modeling, and the method comprises the steps: carrying out the fitting construction of a probability distribution model reflecting surrounding rock parameters; selecting a plurality of surrounding rock parameters as clustering features, quantitatively classifying global geologic structures in tunnel surrounding rocks, and performing global decomposition on a tunnel model into continuous sub-domains containing overlapped buffer areas; for a first sub-domain from any direction of the whole domain of the tunnel model, performing covariance matrix spectral decomposition by adopting a KL decomposition method to generate a first sub-domain random field, and extracting random field values of overlapped regions among the sub-domains as boundary condition data of a recursive generation process; on the basis of the boundary condition data, conditional random fields of subsequent sub-domains are generated layer by layer; and seamlessly splicing the conditional random fields generated by recursion of the sub-fields into a global parameter random field, converting the global parameter random field into probability distribution by adopting a probability mapping method, and performing instruction encapsulation by developing a cross-platform data interface engine to realize a construction process of a parameter random field model.

The invention provides a park environment risk traceability and grading early warning management and control method, and belongs to the technical field of risk early warning based on computer data processing. The method comprises the following steps: firstly, collecting video monitoring, environment and equipment state sensor and real-time meteorological heterogeneous data in a whole domain and a peripheral specific buffer zone of a park, and preprocessing the data to obtain standardized multi-source data; dividing grid units by taking a park boundary coordinate as a reference and distributing a unique standardized code, associating standardized multi-source data to a corresponding grid according to a rule, and performing fusion calculation on a grid-level risk characteristic value of each grid; then combining real-time meteorological data, tracking a risk diffusion path through a reverse derivation algorithm, positioning a risk source position and a core range, and outputting related parameters; and finally, grid risk levels are divided according to the grid risk characteristic values and a preset threshold interval, a corresponding early warning mechanism is triggered, and early warning information is output. According to the invention, the precision of environmental risk positioning, the reliability of traceability analysis and the refinement degree of an early warning result are improved.

The invention discloses an industrial cutting machine wireless communication method based on multi-channel redundancy switching, which relates to the technical field of industrial cutting machine wireless communication, and comprises the following steps of: before a control instruction is written into a transceiving buffer area, executing label comparison operation on a target buffer area address according to a composite label in the control instruction; judging whether the address has a source conflict risk or not, and if so, stopping the current writing; and when writing is stopped, executing a buffer area address redistribution operation, and according to a preset interference distance rule, screening an address section with the lowest conflict risk with the composite tag from the current buffer area as a new writing target of the control instruction. According to the method, the problems of overlapping and conflicting of control instruction data caused by the fact that multiple channels share the buffer area are solved, a safe write-in mechanism based on label identification and dynamic mapping is achieved, and data isolation and system stability in the wireless communication process are improved.

The invention discloses a dragging positioning spraying track planning method for a local area of the surface of special equipment and a storage medium, and belongs to the technical field of industrial robot automation. The method comprises the steps of obtaining point set data of a to-be-sprayed area; calculating a convex hull based on the point set, and solving a minimum enclosing rectangle by using a rotary caliper method to determine an accurate rectangle spraying boundary; constructing a rectangular amplitude limiting sedimentary model through spraying testing and parameter identification; generating a grid track with a buffer area based on the model and the boundary, and optimizing the spraying speed by taking the minimization time as a target; and for the curved surface, performing B-spline curved surface reconstruction and extracting a normal vector to control the attitude of the spray gun. According to the method, the complex multi-parameter trajectory optimization problem is simplified into single-speed optimization through the rectangular amplitude limiting deposition model, the problems that in local spraying, trajectory planning is complex, edge control is not precise, a coating is not uniform and the like are effectively solved, and the spraying efficiency and quality are remarkably improved.

System, methods, and other embodiments described herein relate to transferring automatic control of a vehicle through emulating virtual markings and estimating a buffer zone. In one embodiment, a method includes estimating a position for a takeover by a vehicle that is directly controlling driving maneuvers. The method also includes predicting an automated region from a transition time and the position for the takeover by an operator. The method also includes generating virtual markings for the takeover using the automated region and the position, wherein the virtual markings exist within the automated region and the position indicates an area for manual feedback to the vehicle.

The invention discloses a large-scale building curtain wall physical performance detection system, and relates to the technical field of building curtain wall detection, the large-scale building curtain wall physical performance detection system comprises a double-zone pressure difference sealing assembly used for forming a detection zone and a buffer zone which are mutually independent on the outer side of a curtain wall, and the detection zone is in sealing cooperation with the outer surface of the curtain wall through an expandable sealing cabin; the buffer area surrounds the detection area through a flexible film and an adsorption belt and is isolated from the outside; the spraying matrix assembly comprises a nozzle array and a drop spectrum monitoring unit arranged on a spraying path, and the nozzle array is used for simulating different rain patterns according to preset spatial distribution and time sequence; according to the large building curtain wall physical performance detection system provided by the invention, the double-area pressure difference sealing assembly is matched with a buffer area to stabilize pressure first and a detection area to adjust pressure later, and volume change compensation of a boundary displacement signal is combined, so that the influence of external wind interference on the pressure difference stability is effectively reduced, the pressure stabilizing time is shortened, and the pressure maintaining precision is improved.

The invention discloses a multi-unmanned aerial vehicle area coverage path planning method with no-fly zone avoidance. The method comprises the following steps: converting an input operation area boundary and longitude and latitude coordinates of a no-fly zone into a UTM plane rectangular coordinate system, carrying out safety buffer area expansion on all no-fly zones, and calculating a difference set between the operation area and the safety buffer areas of all no-fly zones to obtain a final available operation area; segmenting the final available operation region to generate a plurality of sub-regions with balanced areas; for each sub-region, generating a parallel scanning route covering the region; and each sub-region line segment generates a parallel scanning route covering the region according to a preset interval. The method can ensure that the path avoids the no-fly zone, the zone distribution is balanced, and the calculation is efficient.

The invention provides a processor program address buffering method and device, and belongs to the technical field of processors, and the processor program address buffering device comprises the following components: an instruction fetching unit, a program address comparison unit, a program address buffer area, a program address buffer area tail value register, an instruction transmitting and executing unit and a reordering buffer area; the instruction fetching unit is in control connection with the program address comparison unit, and the program address comparison unit is in control connection with the program address buffer area, the program address buffer area tail value register, the instruction transmitting and executing unit and the reordering buffer area. In order to solve the problem that the disadvantage of the method is obvious in design iteration of instruction fetching and decoding width increasing and assembly line stage increasing of the superscalar processor, the invention provides a judgment basis for whether a program address is written into a program address buffer area or not through a program address comparison unit; the program addresses of all instructions are not written into the program address buffer area, so that the number of implementation table entries of the program address buffer area can be smaller.

The invention discloses a design method of an advanced branch target address buffer area, which comprises the following steps of: S1, judging whether a first group of jumped branch instructions are unconditional direct branches or not, if so, entering S5; if not, entering S2; s2, judging whether the branch is a conditional direct branch, if so, entering S5; if not, entering S3; s3, when the first group of jump branch instructions are unconditional indirect branches, entering S4; s4, judging whether the actual jump address is the same as the address provided by the leading branch target address buffer area or not, and if not, resetting a saturation counter; if yes, the saturation counter counts, the first instruction block is expanded, and S5 is executed; and S5, linking the two instruction blocks. The invention further discloses a prediction system, and the flow predictor is introduced into the decoupling predictor. According to the method, the operation logic of the advanced branch target address buffer area is optimized, instruction parallel and instruction block extension connection are allowed, and the prediction efficiency is improved; the flow predictor is additionally arranged, the bubble waiting problem is solved, and the prediction speed is increased.

The invention provides a data transmission method and device, equipment and a storage medium. The data transmission method is applied to the controller, at least two buffer areas are arranged in the controller, and the data transmission method comprises the steps that in response to starting of a first timer, CAN data sent by external equipment through a CAN controller local area network bus is stored in the buffer area in an idle state in the at least two buffer areas; in the process of storing the CAN data through the buffer area in the idle state, forwarding the CAN data stored in the buffer area in the occupied state in the at least two buffer areas through a serial peripheral interface (SPI) bus; wherein the data transmission rate of the CAN bus is smaller than that of the SPI bus.

The invention provides a multi-dimensional risk situation awareness method and system based on dynamic people flow modeling, and relates to the technical field of crowd safety management, and the method comprises the steps: obtaining crowd flow data, and generating a distribution situation and a flow situation; constructing a grid flow incidence matrix; convergence and diffusion paths are identified, and risk weights are determined; generating risk probability distribution and grade distribution data; dividing an evacuation area, and planning an evacuation channel; and calculating a safe passing threshold value and a buffer area capacity, and realizing batch evacuation. The risk distribution can be accurately predicted, the evacuation efficiency is improved, and the congestion risk is reduced.

The invention discloses an unmanned ship formation maneuvering control method considering intermittent communication failure and based on a memory cache mechanism, and belongs to the field of unmanned ship cooperative control. The method and the device are used for solving the problems of poor control robustness, insufficient formation flexibility and strong dependence on global information in a communication interruption scene in the prior art. The method comprises the following steps: establishing an unmanned ship kinematics and dynamics model; constructing a cache region and endowing historical data with different weights to realize state prediction compensation; defining a cluster communication topology and an affine transformation relationship, and dividing a leader and a follower; designing a positive minimum interval event triggering mechanism to reduce communication frequency; constructing a fully distributed state observer based on memory cache; and designing a distributed formation controller to realize flexible formation control. The method is suitable for stable control and dynamic formation in cooperative tasks of multiple unmanned ships in a limited water area or a complex environment.

The invention discloses an RDMA asynchronous communication optimization method and system based on a lock-free queue, a medium and a processor, and relates to the technical field of remote communication. The method comprises the following steps: constructing a lock-free annular buffer area at an edge node, registering the lock-free annular buffer area as an RDMA memory area, and configuring a queue and a thread pool; the collection thread concurrently writes data, and the RDMA submission thread asynchronously completes remote transmission based on a buffer area state; and the queue processing thread performs closed-loop linkage transmission and buffer area states through'batch polling-result analysis-state synchronization-exception processing ', and dynamically adjusts the buffer area and queue parameter optimization performance at the same time. The problems that an existing RDMA scheme is poor in thread cooperation, weak in resource adaptation, not timely in state linkage and the like are solved, transmission delay and CPU overhead are greatly reduced, communication stability and the resource utilization rate are improved, and the method is suitable for edge computing and other high-concurrency data interaction scenes.

The invention provides an underground gasification combustion cavity boundary identification and leakage intelligent monitoring method and system based on microseismic-electromagnetic-temperature multi-field coupling inversion, and relates to the technical field of leakage intelligent monitoring. The method comprises the following steps: collecting multi-source data under a unified space-time reference, extracting event distribution, electrical abnormality and temperature rise characteristics, and forming a multi-field characteristic set; taking the cavity boundary and the leakage parameters as joint unknown quantities, establishing a physical consistency constraint based on volume conservation, boundary smoothness and heat and mass flux continuity, and performing multi-field joint inversion to obtain a high confidence solution and uncertainty distribution of the cavity boundary; and boundary reconstruction is further realized through equal likelihood surface extraction and connectivity and morphological smoothing, temperature rise, resistivity and micro-seismic density information are fused in a buffer zone outside the boundary, a leakage index is calculated, graded alarm is judged, and a disposal suggestion is output, so that accurate recognition of the cavity boundary and intelligent early warning of leakage risks are realized.

The invention discloses a point cloud intelligent cutting and dynamic optimization method based on edge computing, and belongs to the technical field of intelligent traffic systems and edge computing, and the method comprises the steps: collecting three-dimensional point cloud data through a multi-line laser radar disposed on an RSU; generating a three-dimensional bounding box through a three-dimensional target detection network in an RSU edge calculation unit, generating an ROI mask, expanding a buffer region, and performing adaptive region cutting on the point cloud to form an ROI point set and a background point set; a perception-driven cutting decision is realized, and ROI extraction is converted into a self-learning process based on semantic features from fixed threshold judgment; voxelizing the non-uniform resolution point cloud, generating a unique hash index for each voxel unit, comparing a hash set of a current frame with a hash set of a previous frame, extracting newly added and disappeared point sets, and constructing a differential data packet according to a change ratio; while high timeliness is kept, data redundancy is reduced, and the point cloud updating rate and the incremental transmission efficiency are improved; and dynamic optimization of communication-calculation cooperation is realized.

The invention relates to the technical field of industrial data management, in particular to an energy network dynamic game optimization method under a carbon quota constraint, and the method is suitable for strategy linkage and response relationships generated by different management subjects due to carbon resource allocation and scheduling policy adjustment under a carbon quota system. According to the method, various local policy adjustment events are simulated, the response influence of the events on other management subjects is analyzed, and the possible management conflict risk is recognized; on the basis, a strategy buffer area and a time sequence transition mechanism are introduced, and transition path planning from a local strategy to global coordination is achieved; and the management strategy is dynamically adjusted in combination with feedback information in the execution process. According to the method, the potential instability region can be dynamically identified in the operation process, local reconstruction and iterative optimization are implemented in real time, and the compliance and stability of an energy system in a complex carbon quota management environment are guaranteed.

The invention discloses a data asset visualization and collaborative governance method and system based on an AI agent, and the method comprises the steps: carrying out the mapping of attribute parameters, such as the type, scale, value and the like, of data assets, building a feature space, completing the nonlinear mapping from high dimension to low dimension through a t-SNE model, and achieving the visualization feature presentation of the data assets. Initializing a deep Q network agent, setting a reward function by taking visual features as a state space, governance operation as an action space and parameter change, selecting actions by the agent according to the reward function to execute collaborative governance, and storing empirical data into a buffer region to train the network; and training is repeated until network convergence, and a visual and cooperative treatment strategy is generated. The system is composed of a data asset feature mapping unit, a t-SNE conversion unit, an agent initialization unit and the like, all the units are mutually connected and cooperatively operate, data asset visualization and intellectualization and automation of cooperative governance are achieved, and the data asset management efficiency and the value mining capacity are effectively improved.

The invention relates to an ocean communication method based on self-adaptive Q-learning factor setting. In the method, each node periodically collects own state information and broadcasts the own state information to surrounding nodes, and after each node receives a message and stores the message in a cache region, routing decision and parameter adjustment processes are circularly executed until the message is completely transmitted to a target node to complete communication; wherein the routing decision and parameter adjustment process comprises the following steps of: calling a message from a corresponding buffer area by a current node, selecting a next forwarding node of the message based on a current Q value table, updating a learning rate and a discount factor based on the current state information of the node after sending the message, and performing routing decision and parameter adjustment by combining a reward function, the updated learning rate and the discount factor. And a new Q value table is obtained through asynchronous updating of the double-Q network. Compared with the prior art, the method has the advantages that the delivery rate is higher, the method can better adapt to changeable environments, and the problem of real-time changes of topology, load and channel quality can be well solved.

The invention provides a heterogeneous multi-agent autonomous collaborative optimization method for production and maintenance integrated scheduling of a mixed flow manufacturing workshop. The heterogeneous multi-agent autonomous collaborative optimization method comprises the steps of limited buffer region constraint, feature screening, heterogeneous multi-agent and the like. The method is optimized on the basis of a TD3 algorithm, and comprises the following steps: firstly, constructing a heterogeneous multi-agent according to the characteristics of each processing site; secondly, in order to improve effective characterization of feature extraction, a feature screening mechanism based on NSGAIII is designed; and finally, in combination with the actual scheduling condition of the mixed-flow manufacturing workshop and aiming at the actual situation that the performance of the scheduling rule of the first-selected workpiece and the second-selected machine is poor, a composite scheduling rule based on the first-selected machine and the second-selected workpiece is adopted. According to the method provided by the invention, the effectiveness and superiority of the NSGAII-MATD3 algorithm are respectively demonstrated by comparing a traditional single scheduling rule, a feature-free screening MATD3 algorithm and five advanced deep reinforcement learning algorithms.

The invention discloses a software flashing method and system, a computer program product and a storage medium. The software flashing method comprises the following steps: in response to a downloading request of a client for a target flashing file of a server, dividing the target flashing file into a plurality of data blocks; sending the plurality of data blocks to a buffer area of the client, and preferentially sending a data block containing header information of the target flash file in the plurality of data blocks; the header information is used for requesting an ECU for data flashing, and the ECU is associated with the client; and when it is detected that the header information reaches the buffer area, flashing the received data blocks in the buffer area to the ECU based on the header information until the target flashing file is completely flashed to the ECU. The software flashing efficiency can be improved.