1120 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 relates to the technical field of computer network communication, and relates to a reconfigurable router architecture based on buffer sharing and a dynamic routing method. The router architecture comprises a demultiplexer used for distributing data packets to centralized buffer areas of other ports according to port load states; the virtual channel distribution module is configured to determine an output port of the data packet according to a routing algorithm and generate a corresponding virtual channel ID; the centralized buffer area supports multi-port sharing and is divided into a plurality of logic sub-channels according to virtual channel IDs, and each sub-channel manages a data packet queue through a head pointer and a tail pointer; the credit management module is used for monitoring the idle capacity of the centralized buffer area and transmitting congestion information through a reserved bit of a data packet; and the congestion register dynamically records the congestion state of the neighbor node through the congestion information table. According to the invention, the problems of unbalanced load, low utilization rate of a buffer area and high congestion control cost of a traditional router are solved.

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 discloses a comprehensive identification method for unsafe behaviors of construction site personnel, and particularly relates to the field of construction site image analysis and identification, and the method comprises the steps: constructing a boundary line segment connection diagram through edge detection and Hough transformation, and generating a risk mask region based on a plane projection track and a buffer zone; performing instance segmentation and attitude estimation on the personnel, extracting joint points and calculating a gravity center point, screening key points according to operation types, and constructing a relative vector sequence; extracting an included angle between a main attitude axial direction of continuous frames and a boundary normal, and generating a direction consistency matrix and a camber behavior mark; and finally, identifying a resident section in the risk mask area and outputting a constriction violation approaching behavior label. A space compression judgment mechanism based on image feature recognition is achieved, and it is ensured that edge approaching type unsafe behaviors existing when constructors conduct different types of work are recognized in advance and subjected to risk early warning.

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 utility model relates to the technical field of shock absorption, in particular to a rubber foot pad, which is applied to a compressor and comprises a supporting top seat, a supporting base, an anti-deviation structure and a rubber pad, the top of the supporting top seat is provided with a mounting part and a buffer area room, one end of the rubber pad is fixedly arranged at the bottom of the supporting top seat, and the top of the supporting base is fixedly connected with one end, far away from the supporting top seat, of the buffer area room. The mounting part is arranged at the bottom of the supporting base, and the mounting part, the supporting top seat, the buffer area room and the supporting base are all hollow, so that a polish rod at the bottom of a compressor can be inserted conveniently, and the damping effect of the rubber foot pad is improved by designing the buffer area room and changing rubber components, namely adjusting hardness and density; friction between the supporting base and a compressor chassis is increased, displacement caused by vibration is reduced, and therefore vibration and abnormal noise of an outdoor unit are reduced.

The invention discloses an unmanned aerial vehicle take-off and landing site selection method for urban end logistics, and relates to the technical field of facility site selection, and the method comprises the following steps: S1, obtaining a building contour of a region to be subjected to site selection, and constructing a customer buffer region according to the building contour; s2, based on the customer buffer area, performing noise analysis and safety analysis on the unmanned aerial vehicle, and constructing an overall restricted area; and S3, based on the overall restricted area, constructing a target function taking the lowest cost as an optimization target, a target function taking the highest satisfaction as an optimization target and a plurality of constraint conditions, and obtaining a site selection layout result. According to the method, the applicability of the grid map method in the complex urban environment is verified, and a new thought is provided for the layout of the urban logistics unmanned aerial vehicle take-off and landing points.

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 provides a processing and assembling combined production workshop scheduling optimization method considering dynamic disturbance, and the method comprises the steps: building a combined scheduling model: dividing a product production process into a part processing process, an assembling process and an assembling subsequent process, defining the correlation constraint of processing and assembling, and carrying out the processing and assembling operation; comprising part machining sequence consistency, part machining completion requirements before assembly, buffer area capacity limitation and a dynamic disturbance event response mechanism; establishing a multi-objective optimization function: taking minimization of maximum completion time, equipment idle time, processing energy consumption cost and tool switching times as optimization objectives, and generating a scheduling model in combination with process time dependence, machine selection uniqueness and tool switching time constraint; dynamic disturbance processing: when an equipment fault occurs or a new order is inserted, updating an available machine state or combining tasks to be processed, and triggering rescheduling to generate a new scheme; an improved MOEA / D algorithm is used for solving; and outputting and applying a scheduling scheme: selecting a final scheme for production guidance according to the non-dominated solution set.

The invention provides a large-diameter long-pipe-section pipe pile hoisting path planning method and device, and relates to the technical field of cranes. According to the method, motion state parameters of pipe sections and pipe piles are obtained in real time, and in combination with three-dimensional environment sensing data of a hoisting area, a space operation diagram containing obstacles and a safety buffer area is constructed; generating a plurality of groups of candidate paths combined by speeds and steering angles in the fan-shaped region according to a set angle interval by taking the current motion direction as a reference; removing paths conflicting with obstacles through collision detection, and reserving an effective path set; based on multi-dimensional feature analysis of a security item index, a smoothness index and a progress index, a scoring function is constructed by presetting a weight, and an optimal path is dynamically selected; path planning is carried out through a fixed time interval until the pipe pile stably arrives at a target point; through real-time environment modeling and dynamic path planning, the problems of obstacle avoidance and efficiency of large-diameter pipe pile hoisting in a complex scene are solved, and hoisting safety and operation accuracy are remarkably improved.

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 territorial space planning optimization method and system based on an ecological safety pattern, and relates to the technical field of territorial space planning optimization and ecological safety protection, and the method comprises the steps: carrying out the system collection and preprocessing of multi-source space data, building a space planning optimization mechanism based on the ecological system features and regional development demands, and carrying out the optimization of the territorial space planning. And the spatial relationship among the ecological corridor, the buffer area and the development area is planned as a whole. According to the territorial space planning optimization method based on the ecological security pattern provided by the invention, effective coordination between ecological protection and economic and social development is realized by constructing the territorial space planning optimization method based on the ecological security pattern. By means of an optimized complex mathematical model combining ecological resistance, ecological connectivity, landscape heterogeneity, an ecological buffer area and ecological function compensation, the specific layout of an ecological sensitive area and an ecological corridor is accurately recognized, and the accuracy and the implementation effect of ecological protection measures are greatly improved.

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 relates to the technical field of natural gas pressure regulating station automatic site selection, and provides a natural gas pressure regulating station automatic site selection method, system, equipment and medium, and the method comprises the steps: precisely extracting a water system contour boundary through employing an edge detection algorithm, generating a water system distribution diagram, and building a terrain constraint condition through combining with a gradient grading mask; the gradient attenuation range of the water system safety buffer area is dynamically adjusted based on the river channel bending curvature characteristic and the branch intersection density, and water body protection and land use requirements are effectively balanced; recognizing boundaries of a building area and a forest protection area through color and shape features of the remote sensing image, and performing superposition to generate a composite security constraint layer; and screening low-gradient contiguous effective candidate blocks after excluding the protected area, simulating a feasible path through a depth-first search algorithm, and selecting an area which is high in connectivity with a main road and small in topographic relief as a final site. The ecological environment damage risk is reduced, the engineering implementation feasibility is ensured, and the optimal balance of ecological protection, safety protection and construction cost is achieved.

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 relates to the technical field of slope protection structures, in particular to a slope protection structure for vegetation buffer strip repair, which comprises a fixed seat, an adjusting mechanism rotatably connected to the fixed seat, an adjusting seat rotatably connected to the adjusting mechanism, a rotating rod rotatably connected to the adjusting seat, and two slope protection frames fixedly connected to the rotating rod. The U-shaped frames are fixedly connected to the slope protection frame, the reed planting mechanisms are rotatably connected to the U-shaped frames, the manger boards are fixedly connected to one sides of the U-shaped frames, and the sunshade mechanisms are rotatably connected into the manger boards. The angle of the slope protection frame can be adjusted to be suitable for the angle of the reservoir shoal, so that reeds planted at the reservoir shoal can be centralized and fixed, the slope protection and water and soil conservation functions in water conservancy projects are helped to be restored by utilizing the natural advantages of the reeds, and the ecological restoration effect is achieved in water edge areas such as the reservoir shoal.

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 relates to an electronic fence detection method and device, computer equipment and a readable storage medium. The method comprises the following steps: constructing a spatial index of an electronic fence corresponding to a target area to be detected, performing positioning monitoring on each target object based on the target area, and constructing each point object for querying in the spatial index; according to the spatial index of the electronic fence, screening out a plurality of associated fence areas corresponding to each point object; obtaining a position judgment result of any point object by judging a position relationship between any point object and the corresponding multiple associated fence areas, and determining a buffer area detection result of any point object according to buffer area configuration information of the multiple associated fence areas corresponding to any point object; and in combination with the position judgment result of each point object and the buffer area detection result, obtaining the position state of each target object in the target area. By adopting the method, the calculation amount of position judgment can be reduced, and the accuracy and processing efficiency of electronic fence detection 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 discloses an unmanned system navigation method based on an asymmetric privileged world model. The method comprises the following steps: constructing an asymmetric world model WM world by using sample data in an experience pool; a technical means of combining an asymmetric privileged world model and an intelligent decision algorithm is applied in a real-time path planning module, and an asymmetric world model WM world, a participant model Actor and a commentator model Critic are constructed. A WM participant model and a WM commentator model are respectively constructed in a WM world model. In an unmanned system navigation scene, a WM world model performs path training in a storage buffer area through interaction of an unmanned system and environment information, and a synchronous path training process is adopted to ensure that a WM participant model can access an observation result of the unmanned system. The WM commentator model utilizes privilege information to realize high performance and security of security reinforcement learning.

The invention discloses an aircraft deployment method based on a dynamic airspace network and reinforcement learning, and relates to the field of air traffic management, and the method comprises the steps: obtaining flight information and task priority weight information of each flight in a historical time period and a current time period; dynamically dividing the airspace into an independent sub-airspace and a shared airspace by using flight information in a historical time period; calculating the safe area of each flight through a space-time buffer zone model, and determining a flight path according to the safe area; and according to the flight information, the airspace division result and the flight path, a release action instruction set including height adjustment, course correction and speed change is generated, and real-time deployment is performed on the flight. The technical effects of the invention lie in that airspace changes can be responded in real time, flight paths of flights are optimized, potential conflicts are reduced, and the airspace utilization rate is improved, so that the air traffic control efficiency and the flight safety are improved.

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.