76 results about "Path network" patented technology

The invention discloses a digital twinning-based flow machine operation intelligent collaborative management system, and the system comprises an operation data collection module which is used for obtaining multi-source data in a target scene and carrying out the preprocessing of the multi-source data; the twinning modeling module is used for constructing a flow machine operation digital twinning model and generating a twinning operation initial situation; the space-time path analysis module is used for constructing a time hierarchical path network and generating a path conflict cone set and a feasible space-time path set; the operation load calculation and scheduling module is used for establishing task link representation, generating a storage yard congestion potential field and forming a multi-stream-machine cooperative scheduling candidate scheme; and the virtual-real correction module is used for issuing execution and collecting operation feedback, correcting the twin model and generating an optimized target collaborative scheduling scheme. According to the method, the space-time-behavior-link coupled digital twinborn model is constructed to realize flow machine operation predictive collaborative scheduling, and the method has the advantages of conflict recognition in advance, congestion trend suppression and remarkable improvement of scheduling efficiency.

The invention discloses a surface mine transportation real-time intelligent scheduling method and system based on multi-objective optimization. The method comprises the steps that S1, an initial data loading module initializes the system; s2, the algorithm module verifies the vehicle state after receiving the scheduling request; s3, executing a path generation strategy according to states, wherein a normal vehicle generates all feasible routes based on the global path network; when a user appoints a starting point and a terminal point, a point-to-point optimal route is intelligently generated; s4, performing dynamic optimization scheduling based on the multi-source data; optimal task allocation is solved through a multi-objective optimization model, and a vehicle and route mapping relation is output; and S5, a scheduling result is issued to the vehicle-mounted terminal through the service layer, and a terminal interface displays a recommended route and operation guidance. According to the invention, a dynamic event-driven mechanism and a multi-source data collaborative optimization intelligent scheduling framework are fused, so that efficient distribution of vehicle tasks, real-time generation of paths and quick response to abnormal conditions are realized.

The invention provides a low-altitude networking of intelligence multipath data transmission system based on MPQUIC, and belongs to the technical field of novel network protocols, and the system comprises a network state analysis module which is used for obtaining the network state indexes of all communication paths of an unmanned aerial vehicle under different position coordinates; the flow scheduling module is used for predicting the track of the unmanned aerial vehicle, scoring the communication paths by combining the network state indexes of the communication paths, and obtaining the communication paths corresponding to the data flows with different priorities of the unmanned aerial vehicle according to the priorities of the data flows with the scores of the communication paths; and the path selection optimization module is used for dynamically adjusting weight parameters in communication path scores based on deep reinforcement learning by taking network throughput maximization and time delay minimization as targets to obtain optimal communication paths corresponding to data streams with different priorities. According to the invention, the problem that the prior art is difficult to have high reliability and low time delay due to the dynamic change of the network environment caused by the position change of the unmanned aerial vehicle in the low-altitude Internet of Things is solved.

Devices, systems, methods, and processes for enabling path monitoring in multi-path networks are described herein. Load balancing of packets is often performed based on outer encapsulating headers and inner packet headers. However, inner packet headers of probe and data packets can be different. Thus, the probe packet can traverse a different path as compared to the data packet, causing inconsistent hashing. To address this, a device is provided with a routing logic that encapsulates a packet, having a packet header, with an outer header. The outer header has a control bit, source and destination address fields, and a flow label field. When a value of the control bit is set to a predetermined value, load balancing is performed exclusively based on the outer header, exempting a utilization of the packet header. Therefore, load balancing for probe and data packets performed exclusively based on the outer header is consistent.

The invention relates to the field of thermal flow guide path optimization, and discloses an electronic communication equipment heat dissipation method based on thermal flow guide path optimization, which comprises the following steps: arranging a plurality of thermal paths between a chip and a radiator, combining the thermal paths into a network structure in parallel and series modes, and constructing a selectable thermal flow path network structure; collecting real-time temperature and load data of each module, and constructing a multi-dimensional thermal state database in combination with historical operation records and environmental parameters; thermal resistance and module temperature of each thermal path are analyzed, priority is set according to module types and power loads, key modules correspond to specific thermal flow paths, non-key modules distribute thermal flow through remaining paths, and a thermal flow planning scheme is generated; the thermal resistance of each path is adjusted through the phase change material, and a target thermal resistance value is generated; in the chip operation process, the temperature, load and thermal resistance state of each thermal path are continuously collected, and a thermal resistance adjusting instruction is generated; the method has the advantage that the thermal management efficiency and the temperature control precision are improved.

The invention discloses an apple leaf disease segmentation method based on a lightweight dual-path network, an apple leaf disease segmentation device based on the lightweight dual-path network, an apple leaf disease segmentation device and a computer readable storage medium. The problems that an existing disease segmentation method is high in model complexity and insufficient in multi-scale recognition capability are effectively solved. The lightweight encoder adopts a depth separable convolution and channel recombination technology, so that the parameter quantity and the calculation complexity are greatly reduced while the feature extraction capability is maintained, and the model can be deployed on edge equipment such as an unmanned aerial vehicle and a field robot. The enhanced cavity space pyramid pooling module constructs abundant multi-scale receptive fields through multi-branch parallel cavity convolution with different expansion rates, and can capture feature information of initial tiny disease spots and later fused disease spots at the same time.

The invention provides a remote control method and device for intelligent multimedia interaction equipment, equipment and a medium, which are used for improving the real-time performance and the execution success rate of remote control and enabling complex multimedia interaction to be reliably operated on a heterogeneous network and heterogeneous equipment. The method comprises the following steps: carrying out hierarchical analysis processing on interaction data input by a user to generate perception command data, and carrying out execution planning and resource allocation on the perception command data according to equipment performance characteristics to generate an executable operation sequence, and performing transmission quality evaluation and path selection on the propagation path network according to the executable operation sequence to obtain a target transmission path, and performing protocol encapsulation on the executable operation sequence according to the target transmission path to obtain a remote control instruction data stream.

The invention discloses a traffic scheduling method and electronic equipment, and relates to the technical field of traffic scheduling, and the method comprises the steps: responding to a condition that a to-be-sent data stream accords with a transport layer protocol and the traffic size of the to-be-sent data stream is greater than a preset threshold value, and generating a plurality of candidate port values used for identifying the to-be-sent data stream at a data sending end; creating a plurality of detection data packets, wherein source port fields of the detection data packets are set as different candidate port values; sending the detection data packets to a data receiving end, and obtaining performance indexes of candidate network paths corresponding to the plurality of detection data packets based on the response of the data receiving end; determining a target source port value from the plurality of candidate port values based on the performance index; according to the embodiment of the invention, the source port field of the data packet corresponding to the to-be-sent data stream is modified into the target source port value, and the modified data packet corresponding to the to-be-sent data stream is sent to the data receiving end, so that the technical problem of load imbalance of a multi-path network in related technologies is solved, and the reliability of traffic scheduling is improved.

The invention relates to the technical field of intelligent manufacturing, and discloses an intelligent control system for a battery shell aluminum plate stamping production line. A data cleaning module of the system receives original sensing data of a stamping production line and executes fluctuation smoothing processing and abnormal point removing operation to generate clean data flow; the feature sequence generation module detects starting and ending event points of a stamping process based on the clean data flow, and performs splicing according to a time sequence to form a process chain and marks key process nodes; the path network creation module maps process nodes into network vertexes, and adds directed connection edges based on a node precedence relationship to construct a path network map; an intersection analysis module traverses the atlas to search for a shared vertex group, calculates an aggregation degree index and screens a core intersection; the attribute grouping module is used for summarizing association path attribute data sets according to the core intersections and executing similarity grouping operation to distribute group labels; and the control topology generation module maps the path groups to a control unit output control topology structure table according to the group labels.

The invention relates to a multi-modal emotion recognition fusion and communication method oriented to real-time human-computer interaction, and aims to solve the problems of asynchronous modal time sequence, non-uniform feature dimension, single fusion mode, high communication delay and the like of an existing emotion recognition system and improve the recognition precision and real-time performance of the system. According to the method, voice, images and physiological signals are synchronously collected through a multi-modal input module, feature alignment is achieved through time sequence interpolation, dynamic time warping and space coordinate mapping, double-domain feature fusion is conducted in combination with a time path network and a space path network, emotional state judgment is completed through a lightweight neural network, and the emotional state recognition accuracy is improved. And outputting six types of basic emotions and confidence coefficients. Meanwhile, a low-delay communication protocol based on UDP clipping extension realizes rapid feedback of emotion data, and in combination with modal priority scheduling, data compression and bandwidth sensing mechanisms, high-efficiency and low-delay transmission is ensured, and the real-time interaction requirement in a weak network environment is met. The method has the advantages of high accuracy, low power consumption, low time delay and flexible deployment, is suitable for various real-time interaction application scenes such as voice assistants, virtual customer service, emotion accompanying and telemedicine, and has wide application value and market prospect.

The invention discloses a phi-OTDR (Optical Time Domain Reflectometer) vibration signal classification method based on multi-scale residual convolution and a bidirectional long-short-term memory network, relates to the technical field of phase-sensitive optical time domain reflectometer vibration sensing, and solves the problems of insufficient feature extraction, single model fusion mechanism, poor system real-time performance and the like of an existing phi-OTDR vibration signal classification method. The method is realized through the steps of a multi-scale deep convolutional network, a bidirectional long-short term memory network, a cross attention fusion module, a learnable gating mechanism and the like. A cross attention fusion module is adopted, association between spatial features and time sequence features is dynamically established in a double-path network, feature interaction and information coupling are deepened, and the sensing ability of the model to key information is remarkably improved. Meanwhile, the fusion proportion of the multi-path features is adaptively adjusted according to the actual distribution of the input features, background noise interference is effectively suppressed, and the robustness and discrimination performance of the model are enhanced. Accurate identification and classification of external vibration signals are realized.

The invention discloses an LED lamp energy consumption optimization control method and system adopting an ant colony algorithm, and particularly relates to the field of LED lamp energy consumption optimization control, and the method comprises the steps: constructing a path network model of a multi-node illumination region, obtaining the movement track information of a user in the illumination region in real time through a collection module of LED illumination equipment, and generating path use frequency data; and performing pheromone optimization enhancement processing on the path use frequency based on an ant colony algorithm, and driving an existing illumination control module to select an LED lamp corresponding to the current high-frequency path area to perform activation response. By introducing pheromone attenuation control, a negative pheromone suppression mechanism and a virtual individual tentative activation strategy into a path frequency atlas, outdated paths are identified and suppressed, and new user behavior paths are detected and enhanced, so that time sequence sensitive scheduling of lighting resources and real-time optimal updating of energy consumption configuration are realized, and the optimal scheduling efficiency is improved. And the response capability and the energy-saving efficiency of the system to behavior transition are improved.

The invention discloses an information fusion and reasoning method and system based on multi-agent collaborative networking search, and relates to the technical field of network information, and the method comprises the steps: a deep research strategy scheduling agent deconstructs an unstructured request through a task formalization mechanism, generates a high-dimensional instruction code, and dynamically optimizes an execution path. And the network intelligence index generation agent extracts and screens the trusted URL by using a rule engine and a semantic evaluator based on the code, and generates a structured link instruction stream. The structured analysis intelligent agent implements multi-level semantic distillation and conversion on an original document to obtain key value pair representations, and the key value pair representations are packaged into machine readable data. And generating a comprehensive intelligence abstract with consistent logic through the information fusion analysis agent. And the natural language generation engine converts the information into a professional report, and returns the professional report to the scheduling module through a feedback interface to realize cognitive closed-loop iterative optimization. The technical problem that in the prior art, it is difficult for geologists to obtain accurate, comprehensive and credible professional conclusions is solved.

The invention provides a multipath P2P file reliable transmission method based on intelligent grading, which comprises the following steps: detecting available port resources and multipath network quality required by P2P transmission in a multipath P2P environment so as to construct a multipath resource pool, and performing targeted matching of an intelligent grading transmission mode on the multipath resource pool in combination with network quality information; calling the configured intelligent blocking model to block a to-be-transmitted file to obtain file blocks and generate a block state table, performing multi-path parallel cooperative transmission on the file blocks in cooperation with the matched intelligent hierarchical transmission mode, and synchronously monitoring the transmission state of each path on the file blocks to generate a transmission breakpoint record; and based on the configured abnormal degree intelligent grading model, determining an abnormal grading grade according to a transmission breakpoint record, and according to the abnormal grading grade, triggering the intelligent blocking model to adjust blocking parameters and synchronously adjust a multi-path resource pool to optimize matching of an intelligent grading transmission mode so as to implement file transmission based on intelligent grading control in a multi-path P2P (Peer-to-Peer) environment.

Embodiments herein relate to a method performed by a network node (110) for handling signal quality variations for a UE (120). The network node (110) predicts a future signal quality variation indicative of a path of movement for a second UE (120b) being served by the network node (110). The predicting is based on historical data of previous signal quality variations for one or more first UEs (120a) having been served by the network node (110). The historical data of previous signal quality variations is indicative of a path of movement of the one or more first UEs (120a). The network node (110) determines to change a network configuration for the second UE (120b) based on the predicted signal quality variation. The network node (110) initiates the change of the network configuration for the second UE (120b). Embodiments herein further relate to a method performed by a UE (120a, 120b) for handling signal quality variations for the UE (120a, 120b).

The invention relates to the technical field of network transmission, in particular to a parallel coding and decoding method based on a multi-channel network TCP-UDP (Transmission Control Protocol-User Datagram Protocol). According to the invention, by constructing a multi-path parallel transmission mechanism of a transmission control protocol and a user datagram protocol, the transmission performance of each path can be dynamically evaluated and quantified according to the round-trip time and packet loss rate of the path at the beginning of session establishment, and the initial data distribution proportion is scientifically calculated, so that the initial optimization utilization of network bandwidth resources is realized; in the data transmission process, the actual sending rhythm and the bandwidth utilization condition of each link are continuously monitored, and the evolution trend of the bandwidth load is accurately identified through a time sequence prediction model, so that the path weight is dynamically modulated, the distribution proportion of the data packet is corrected in real time, and the data stream can be continuously and uniformly transmitted on the optimal path. The problems of transmission bottleneck and delay caused by performance fluctuation of a single path are effectively solved, and the reliability, stability and efficiency of data transmission are greatly improved.

A device, method, and system for flight path network data reporting. A request for an unmanned aerial vehicle (UAV) flight path network data report indicating at least one waypoint is received. In response to the request for the UAV flight path network data report, a request for data analysis information regarding the at least one UAV corresponding to the at least one waypoint is transmitted. In response to the request for data analysis information, data analysis information regarding the at least one UAV corresponding to the at least one waypoint is received. A UAV flight path network data report is transmitted based on the data analysis information. In some implementations, a network device implements a crewless air system network function (UAS-NF). In some implementations, the network device receives a request for a UAV flight path network data report from a UAS service supplier (USS).

The multi-path network port expansion system and the communication chip provided by the embodiments of the present disclosure comprise a master module, a first expansion module, a switching module, a second expansion module and a configuration module; the first expansion module is in communication connection with the master module through a first PCIe bus, the switching module is in communication connection with the master module through a second PCIe bus, a first group of interfaces of the first expansion module is in communication connection with the second expansion module through the switching module, and the configuration module is in communication connection with the master module and the second expansion module respectively; the master module sends network port data to the first expansion module, sends first configuration data to the switching module, and sends second configuration data and control data to the switching module, so as to configure the switching module according to the first configuration data and configure the second expansion module according to the second configuration data and the control data, so that the communication chip is expanded to generate multiple different types of interfaces, and the network port data is transmitted through the multiple different types of interfaces.

The invention provides a take-out order scheduling method and system, a storage medium and a program product, and relates to the field of personnel or project management, and the method comprises the steps: generating a path network according to the coordinates of a pickup point and a delivery point of a new order; determining a group of geographic grid indexes covering the path network based on a preset grid cell size to obtain a new order path index set; calculating an intersection index set of the new order path index set and the future path index total set of the candidate rider; and when the number of the unique identifiers of the geographic grid indexes in the intersection index set exceeds a preset path matching threshold value, adding the new order into the order sequence of the target candidate rider with the highest comprehensive score, and adjusting the planned path corresponding to the target candidate rider to complete the scheduling of the new order. By implementing the method, the problem of misjudgment of the smoothness caused by path simplification can be relieved, and the matching accuracy of the order and the rider is improved, so that the overall delivery efficiency is improved.

The application discloses a service migration method and system considering reputation and fault-tolerant mechanism, and relates to the field of service migration in a mobile edge environment.The method comprises the following steps: obtaining a starting edge node and a target migration node corresponding to a service, and calculating the total reputation score of the edge nodes in the edge node set; screening the edge nodes based on the total reputation score and the edge node reputation threshold, constructing a path network topology graph, obtaining a migration path set by using a depth-first traversal algorithm, and screening a candidate path set; evaluating the resource redundancy performance of each candidate path and screening a candidate reliable path set; implementing a fault-tolerant redundancy strategy on each candidate reliable path, establishing a fault-tolerant feedback adjustment mechanism, and adjusting the fault-tolerant strategy according to the feedback result; calculating the transmission delay of each candidate reliable path, and selecting the candidate reliable path with the highest comprehensive score as the service migration path.The application effectively improves the stability, reliability and efficiency of the service migration process.

The invention belongs to the field of remote direct memory access, and discloses a bitmap-based RDMA (Remote Direct Memory Access) data packet out-of-order receiving circuit and method, a bitmap checking module verifies the validity of a data packet and outputs a bitmap switching identifier, and a bitmap management module maintains pointer information through three states of order, out-of-order and bitmap updating; the bitmap information storage module is used for storing bitmap information, calculating the offset of a bitmap writing pointer in an out-of-order state and starting a fragmentation timeout mechanism, generating a window sliding enable signal when the bitmap state is updated, the bitmap information storage module responds to the enable signal to execute bitmap writing and window sliding updating, and the bitmap pointer storage module manages a multi-queue bitmap state identifier and a pointer in an RAM (random access memory) structure. By adopting the circuit, the bandwidth waste and congestion risk caused by retransmission can be obviously reduced; the tail delay jitter is reduced; and the adaptive capacity to multi-path network disorder is enhanced, so that the bandwidth utilization rate and the transmission reliability are comprehensively improved.

This application relates to a multi-path load balancing congestion control method, apparatus, system, and medium, comprising: a sending end acquiring path network status information fed back by a receiving end, determining the path congestion level accordingly, filtering out a preset number of overloaded paths, and updating a congestion control context that only records information about overloaded paths; further updating a queue context containing a path bitmap, the path bitmap being used to mark whether each path is available; and finally selecting an available path to send a message. This application only needs to maintain the status information of a small number of overloaded paths, significantly reducing storage overhead, and achieves efficient dynamic load balancing and congestion avoidance through the path bitmap.

The invention discloses a CAD connection path selection method and system based on adjacency point calculation, and belongs to the technical field of CAD connection. The method comprises the steps that a node set is formed, node tolerance merging is conducted, and an adjacency graph is formed; and by taking the starting point block reference as a source and the ending point block reference as a sink, executing a path-finding algorithm on the adjacency graph to calculate a shortest path, and optimizing node tolerance combination in the calculation process of executing the shortest path. According to the method, complete topology modeling of a path network can be realized, tiny coordinate deviation between nodes is adaptively corrected, and the consistency of path connectivity and geometric accuracy is ensured; tolerance parameters are dynamically adjusted to cope with tiny topological fractures, and continuous tracking and accurate backtracking of the path are achieved. In conclusion, automatic connection generation and path optimization of a complex structure in the CAD environment are achieved, and the wiring efficiency, geometric consistency and the drawing intelligence level are improved.

The invention discloses a semantic path network modeling and application method based on multi-source data integration, and relates to the technical field of path network construction and application, and the method comprises the steps: obtaining multi-source data of a target scene; according to a preset mapping rule, performing ontology mapping on the BIM data, the GIS data and the target sensor data to construct a semantic path ontology oriented to disaster rescue; constructing a knowledge graph according to the semantic path ontology to obtain a semantic path network; and realizing disaster rescue related information query and semantic path planning by using the semantic path network, thereby realizing improvement of the accuracy of the planning path and improvement of the evacuation / rescue efficiency.

A method is disclosed for managing network communication in a virtual machine hosting computer system with nested child partitions. The method involves loading a network driver in a level-one child partition and creating a virtual switch within the level-one child partition. The virtual switch establishes a synthetic data path between a synthetic network adapter offered by a root partition and a network driver in a level-two child partition. A network interface controller (NIC) switch capability is exposed to the virtual switch, and a peripheral component interconnect express (PCIe) virtual function offered by the root partition is passed from the level-one child partition to the level-two child partition, enabling the level-two child partition to take advantage of the PCIe virtual function.

Embodiments of the present application provide a path planning method, a path planning device and an optical communication network, which are used to realize non-susceptible switching of high-quality primary and backup paths. The path planning method provided by the embodiments of the present application comprises: receiving request information and network resource information, the request information comprising information of a source node and a sink node, the request information indicating planning of primary and backup paths from the source node to the sink node, and the network resource information indicating topological information of a network. A first primary and backup path is sent, the first primary and backup path comprising a first primary path and a first backup path connecting the source node and the sink node in the network, the first primary path and the first backup path conforming to a mathematical model containing a delay difference constraint of the primary and backup paths, the mathematical model further containing an optimization strategy of the primary and backup paths, and a delay difference between the first primary path and the first backup path being less than or equal to a first threshold value.

Provided is a system and method for generating routes for use by a mobile robot. The mobile robot can comprise a navigation system in operative communication with a drive system; one or more sensors configured to collect sensor data, wherein the one or more sensors are configured to collect training data representative of a route or portions of a route as the mobile robot is navigated along the route; a user interface configured to receive user inputs providing route information; and a route generator configured to process the route information and the training data to generate a route network comprising a plurality of route segments. The training data can be generated while the mobile robot is navigated in a first direction and the mobile robot is configured to autonomously navigate in a second direction that is opposite the first direction.

Devices, methods and systems for flight path network data reporting. A request for an uncrewed aerial vehicle (UAV) flight path network data report that indicates at least one waypoint is received. A request for data analytics information regarding at least one UAV corresponding to the at least one waypoint is transmitted, responsive to the request for the UAV flight path network data report. Data analytics information regarding at least one UAV corresponding to the at least one waypoint is received, responsive to the request for data analytics information. A UAV flight path network data report is transmitted based on the data analytics information. In some implementations, the network device implements an uncrewed aerial systems Network Function (UAS-NF). In some implementations, the network device receives the request for a UAV flight path network data report from a UAS service supplier (USS).

Virtual connections are established between remotely connected servers in a network. The virtual connections include (1) a terrestrial path, as well as (2) a satellite path, for routing the flow of packets through the network. Keys are used for controlling the selective routing of packets through the virtual connections with either the terrestrial path and / or the satellite path. Some tenants in the network are provided virtual connections for enabling their use of the satellite paths and corresponding satellite components. Other tenants are only provided access to terrestrial connections and are restricted from utilizing the referenced satellite components.

The application discloses a kind of multi-source data's reliable alignment method, device, equipment, storage medium and product.Identify the discontinuous fragment of the measurement data sequence of each sensing device and associate sensing device identification, obtain measurement data variation section set;Determine the data channel of each associated sensing device based on sensing device identification and determine overlapping path section through network diagnosis, generate path network atlas;The target measurement data sequence that flows through each overlapping path section is segmented and processed to obtain target data segment, and different target data segments that flow through each overlapping path section at the same time are subjected to data flow consistency analysis to determine an interference channel list;Each target data segment in the target measurement data sequence via the interference channel is subjected to validity determination, and the effective data segment and the measurement data sequence of the non-interference channel are aligned and combined according to time to obtain multi-source reliable alignment data.It ensures data quality, avoids distortion information mixed into fusion results, and improves the accuracy and reliability of downstream decision-making.