39 results about "Logic network" patented technology

The invention discloses an air-sea cross-domain network slice configuration and response method based on a CTC8180 chip, and belongs to the technical field of air-sea cross-domain communication and network slicing, and the method comprises the steps: S1, configuring and parallelly accessing NETCONF and CLI paths, and converting a configuration instruction into a CTC8180 chip call instruction; s2, creating a resource pool, a logic port, a binding interface and a VRF strategy based on a FlexE technology; s3, finishing forwarding and mapping configuration of a slicing strategy by combining SRv6 path programming, service level mapping and gport identification slice identification; s4, performance monitoring, data acquisition and fault detection are carried out through three protocols; s5, closed-loop control is formed through resource dynamic adjustment, path switching, strategy linkage and the like; and S6, multi-chip compatibility and stable adaptive deployment are realized through the steps of integrating S1 to S5. The invention provides a specific implementation method for constructing logic network slicing capability on high-performance forwarding hardware for air-sea cross-domain specific requirements, and provides reliable communication guarantee for high-dynamic heterogeneous services.

The invention relates to the technical field of CAM intelligent programming, and discloses a CAM programming algorithm and system based on a generative artificial intelligence large model. The algorithm comprises the steps of analyzing a CAD document, fusing geometric features, tolerances and material information through a generative artificial intelligence large model, and generating a structured semantic skeleton. Then, the semantic skeleton is matched with a process knowledge base, a preliminary processing instruction cluster is generated, and a dynamic processing graph with a node dependency relationship is constructed; secondly, receiving an editing intention of a user for the graph, analyzing the intention by using a generative artificial intelligence model, and automatically reconstructing node logic and connection of the graph to form a corrected processing logic network; and finally, before execution, simulating a network execution process by using a generative artificial intelligence model, and identifying potential logic and resource conflict nodes. According to the invention, intelligent conversion from design to processing instructions, and intent-driven process chain dynamic optimization and conflict pre-verification are realized.

The invention relates to an intelligent document review method, device and equipment and a medium, and the method comprises the steps: carrying out the structural element extraction and logic relation labeling of a legal document, and constructing a demonstration logic network model; based on legal argumentation rules, automatically detecting argumentation chain breaking points and semantic contradiction nodes, and quantifying conclusion reliability strength; and accurately positioning the position of the conflict original text and generating a natural language report capable of executing the repair suggestion. According to the method, the defects that in the prior art, deep logic breakage cannot be systematically recognized, argumentation reliability quantitative evaluation is lacked, and conflict positioning is fuzzy are overcome, automatic and interpretable review of the hidden logic conflict of the legal document is achieved, and the logic preciseness review efficiency of the judgment document is remarkably improved.

Some aspects utilize an iterative process to synthesis a logic network within an ASIC using lookup table (LUT) optimization techniques. The logic network may be represented by an And-Inverter graph (AIG), as described in more detail below. On each iteration, the current AIG representation of the logic network is mapped to a network of k-LUTs. A k-LUT is a lookup table that can represent any function of k variables. This network may then be improved using LUT optimization techniques. The improved network of k-LUTs is decomposed into a trial AIG representation, which may be further improved for example by applying Boolean-based optimization techniques. The current AIG representation may then be updated in accordance with the quality of the trial AIG representation produced by the current iteration. The final AIG representation from the iterations is synthesized to a netlist of standard cells.

The invention relates to the technical field of robot intelligent interaction and control, and discloses an accompanying robot control method and system. The method comprises the steps of constructing a dynamically evolved narrative logic network, and generating narrative development path bundles of a plurality of time windows in the future through probability deduction. The potential user intention is analyzed for each path, and intention-behavior mapping is established and instantiated into an executable behavior spectrum. During operation, the dynamic matching degree is calculated through real-time feedback, and an adjoint degree attenuation monitoring mechanism is set; and when the matching degree is continuously lower than a threshold value, backtracking and reconstruction of the narrative path are triggered, so that the network jumps to a new development node. According to the method, the robot can perform active prediction and dynamic narrative adjustment on the interaction plot, so that the continuity, the initiative and the situation adaptability of long-term accompanying interaction are enhanced.

The invention belongs to the technical field of integrated circuit design automation, and discloses an FPGA process mapping method and system based on bias learning, and the method comprises the steps: S1, carrying out the KLUT input lookup table mapping of an input logic network, and obtaining initial mapping; s2, on the basis of the initial mapping, constructing a dependency graph, and obtaining a dependency relationship between a cut set of each node and a leaf node of the cut set; s3, initializing an increment table based on a dependency relationship between the cut set of each node and a leaf node thereof, and calculating an area increment of each candidate cut set of each node relative to the current optimal cut set; s4, based on the area increment of each candidate cut set of each node relative to the current optimal cut set, executing multiple rounds of offset learning iterative optimization; and S5, learning experience from the local optimal solution of the current round, recovering a global optimal solution, and outputting a result.

The invention relates to the technical field of network security and information, in particular to an Agent surveying and mapping method and system for isolating network blind area asset discovery, and the method comprises the steps: deploying an Agent at a terminal, collecting local data including an ARP cache, a network connection table, a hardware fingerprint and a behavior portrait, and encrypting and uploading the local data. The main control center performs asset deduplication and identity verification based on hardware fingerprints, processes connection data by using a time window alignment and session continuity analysis algorithm to solve association ambiguity caused by time sequence dislocation and temporary connection, and establishes a cross-Agent connection relationship with high confidence. And finally fusing the connection relation and behavior portrait data, and incorporating the data into unmanaged assets found by a link layer to synthesize a global asset topology of a cross-logic network segment. According to the method, the coverage rate, the identification accuracy and the real-time performance of asset discovery in a complex isolation network environment are improved, and meanwhile, the interference risk of a scanning process on a service network is eliminated.

The invention discloses an embedded single-network-port multi-IP communication device, and a dynamic configuration method, a data transmission method and a fault recovery method of the communication device. The communication device comprises an embedded microprocessing system, a storage system, a man-machine interaction interface, a network input and output interface and a double-logic network interface virtualized in core control software, and the network input and output interface is a single physical Ethernet interface. And the dual-logic network interface comprises a fixed interface and a dynamic interface which share the same physical network port. The method provided by the invention adopts the communication device. Parallel communication of double logic IP addresses is realized through the single physical network port, the hardware cost and the integration level are optimized, the flexibility and the real-time performance of network configuration are improved, the reliability and the maintainability of the system are enhanced, and the resource utilization rate is improved.

The invention relates to the technical field of communication, and discloses a virtual network state connection tracking method and device, equipment and a medium, and the method comprises the steps: determining logic network information; arranging a logic flow table according to the logic network information through the central translation component to obtain a target logic flow table; mapping the connection tracking submission action in the target logic flow table into corresponding physical action information in the physical flow table through the local controller; a local controller configures a connection tracking state space for a local host to submit a connection tracking submission action for all target routing port information according to a constructed context table, and updates a forwarding path of a physical flow table. And enabling the flow to quote the corresponding connection tracking state space according to the updated physical flow table and execute the physical action information for forwarding. According to the technical scheme provided by the invention, the consistency of connection tracking state identification can be ensured during cross-host flow processing in the OVN distributed virtual network control system, so that a security guarantee is provided.

The invention provides a low-energy-consumption green building intelligent operation method based on multi-environment perception and cooperative control, and relates to the technical field of building intellectualization, and the method comprises the steps: constructing a feature vector fusing an environment state and an equipment operation state, generating a candidate cooperative control strategy through a random forest model, and carrying out the cooperative control of the candidate cooperative control strategy; building load and photovoltaic supply are respectively predicted based on the two-way prediction logic network, and expected net energy consumption corresponding to each control strategy is calculated; a constraint optimization mechanism is constructed in combination with the dynamic energy consumption reference curve, an optimal control strategy meeting the daily energy consumption limit value is screened and converted into an equipment execution instruction, and multi-equipment cooperative regulation and control are achieved; after control is executed, on-line correction is carried out on a prediction model based on actual measurement data, positive and negative marking is carried out on a control sample according to whether actual energy consumption is superior to a dynamic energy consumption standard or not, and the method is used for self-adaptive updating of a random forest model, so that the building energy efficiency and the accuracy of a control decision are continuously improved on the premise that energy consumption constraints are guaranteed.

The invention relates to the field of artificial intelligence, knowledge maps and science and engineering logical reasoning, and provides a strict triple construction and reasoning method based on a science and engineering knowledge point logical network. The method comprises the steps of knowledge point input and unique identifier generation, logic connection line (triple) construction, Fog aggregation and hierarchical division, bridge cross-layer logic generation and hierarchical reasoning based on lowest common superior fog (LCAF). The system realizes multi-layer aggregation and dynamic adaptive adjustment of knowledge points through fog, establishes a cross-domain logic path through a bridge, and generates a verifiable optimal logic chain in combination with a graph theory algorithm. The method can be widely applied to the fields of scientific research knowledge modeling, artificial intelligence training, educational reasoning and interdisciplinary knowledge visualization, and has the advantages of being rigorous in structure, traceable in reasoning, high in expandability and the like.

A method is performed by a vehicle system for handling configuration of a vehicle. The vehicle system obtains a request for a service to be provided on-board the vehicle. The vehicle system compares a current configuration with a required configuration of network capabilities that the vehicle is required to have to be capable of hosting the service. The network capabilities comprise one or more containers and / or one or more logical networks connecting containers to one another and / or to one or more offboard resources. When a result of the comparing indicates that the current configuration is different than the required configuration, the vehicle system triggers the vehicle to reconfigure its current configuration of network capabilities such that the vehicle comprises the required configuration of the network capabilities and is thereby capable of hosting the service.

The application is a reel screen motion simulation method, device, equipment and storage medium. One, import the reel screen 3D model into Deltagen software; two, topological subdivision is carried out on the reel screen 3D model; three, check the surface normal direction of the reel screen 3D model; four, classify the reel screen components; five, give the material to the reel screen components; six, calculate the material UV of the components; seven, make the motion simulation process of the motion components, set the key frame for the limit position of the reel screen respectively; eight, set the transparent attribute for the material change component; adjust the reel screen animation to two limit positions, adjust and record the UV parameter at each place; nine, design the program in the logical network editor, match the animation state at the limit position with the corresponding material UV state; ten, the reel screen motion simulation is completed, trigger the model display. The application can observe the effect of motion simulation in real time and modify at any time, and improves the efficiency and quality of motion simulation.

The invention provides a distributed intelligent data management system and method based on cloud computing, and relates to the technical field of intelligent communication. The method comprises the following steps: performing time slice segmentation and snapshot mapping analysis processing on a user terminal interaction signaling data stream to obtain an accurate and continuous signaling track data set; constructing an electronic fence logic network containing a parent region grid and a child hotspot grid, calculating a user terminal signal residence confidence coefficient, and screening out a target user terminal meeting a deep residence condition; calling target user terminal interaction information, executing rule mutual exclusion verification of the reverse sliding time window, and generating a service release instruction; and calling the cloud structured data template to render content in real time, and scheduling and issuing a personalized service message data packet. According to the invention, accurate identification of user behaviors and safe and efficient pushing of personalized information are realized, and service accuracy and user experience are remarkably improved.

A method for generating a logic-based evaluation result for an automated subsumption of a life situation, in particular under applicable legal norms. The steps may include: providing data documenting the facts of the case, the data comprising at least textual, pictorial, natural and / or other evidence; processing the provided data by a machine learning model to extract relevant information from the data and to present it in a structured form; matching the structured information with legal norms and / or requirements by a logic network that draws logical conclusions based on the extracted information and the legal requirements; assessment of the life situation by subsuming the extracted information under the applicable legal norms based on the results of the logic network; and output of an assessment result that includes an assignment of the life situation to the legal norms.

The application discloses a network load expansion planning method and system based on network resilience recovery degree, and the method comprises the following steps: constructing a network configuration scheme with optimal network resilience, and obtaining a mapping relationship between logical network edges and physical network edges in the network configuration scheme; arranging each physical network edge in the network configuration scheme in descending order according to the number of mapped logical network edges, screening out N physical network edges with the largest number of mapped logical network edges as expansion candidate physical network edges; under the constraint of the length of the new optical cable that can be added, selecting the candidate physical network edges with more mapped logical network edges for backup to obtain an expanded network configuration scheme. The application is applied to the field of network load configuration and expansion, and the part of the physical network edges with the largest number of mapped logical network edges are backed up and expanded, so that the best attack scheme of the rational opponent can be effectively coped with, and the availability and performance stability of the network service can be effectively ensured.

The invention relates to the technical field of industrial production digital management and data processing, in particular to a full-process digital management system for a power distribution switch equipment production order, which comprises an order data panorama construction module, an order data processing module and an order data processing module, the order logic path deduction module is used for constructing a resource-constraint-free logic network and deducing an ideal milestone plan axis; the order fulfillment risk simulation module is used for injecting interference factors to simulate and generate a theoretical delay plan axis; the performance deviation characteristic comparison module is used for calculating a real deviation vector and a theoretical risk deviation vector; the delay attribution management and decision module is used for calculating a vector form similarity and outputting a supply chain collaborative early warning or working hour quota revision instruction according to a threshold value; according to the invention, reasonable time consumption and abnormal lag are effectively stripped, and the production decision accuracy is improved.

The invention provides a fingerprint quality evaluation method and device, related equipment, a medium and a program product, relates to the technical field of communication, and aims to solve the problem of relatively low efficiency of a fingerprint acquisition system in related technologies. The method is applied to a terminal, and comprises the following steps: sending a fingerprint verification request to an access and mobility management function (AMF) network element, the fingerprint verification request carrying fingerprint acquisition technology information supported by the terminal; the fingerprint verification request is used for the AMF to request to allocate a storage space address from a radio access network (RAN) and to request fingerprint quality evaluation model information from a personality authentication function logic network element (AKMPF); receiving a fingerprint verification response sent by the RAN, wherein the fingerprint verification response carries a first storage space address and a first sample collection parameter; performing fingerprint collection based on the first sample collection parameter to obtain a first fingerprint sample; and sending the first fingerprint sample to the RAN based on the first storage space address. The efficiency of the fingerprint acquisition system can be improved.

The invention discloses a real estate auditing business partitioning system and method based on a snakelike algorithm model, and the system comprises a task correlation analysis module which is used for analyzing the internal correlation attributes of auditing business pieces, constructing a task logic network, and guaranteeing that correlation tasks are processed by the same working group; the dynamic rule engine module is used for configuring a partition business rule; and the snakelike partition processing module is used for executing partition according to a snakelike line according to a partition service rule. According to the method, the full-automatic distribution and delivery process is adopted, the labor cost is saved, the distribution number of workers can be dynamically balanced, and it is ensured that monthly / annual performance goals are collaboratively achieved.

A method is performed by a vehicle system for handling configuration of a vehicle. The vehicle system obtains a request for a service to be provided on-board the vehicle. The vehicle system compares a current configuration with a required configuration of network capabilities that the vehicle is required to have to be capable of hosting the service. The network capabilities comprise one or more containers and / or one or more logical networks connecting containers to one another and / or to one or more offboard resources. When a result of the comparing indicates that the current configuration is different than the required configuration, the vehicle system triggers the vehicle to reconfigure its current configuration of network capabilities such that the vehicle comprises the required configuration of the network capabilities and is thereby capable of hosting the service.

The invention relates to the technical field of port communication, in particular to a port mixed service traffic cooperative transmission method based on a 5G-TSN logic network bridge. The method comprises the following steps: periodically acquiring context information of a wireless channel between a 5G base station and a port mobile terminal by using the 5G base station, and collecting historical transmission feedback data; constructing a channel state evaluation model based on ridge regression, and establishing a 5G air interface retransmission time model based on the channel state information; a cluster-based collaborative learning mechanism is introduced, and a channel state evaluation model is jointly trained and updated; the method comprises the following steps: dynamically adjusting an attenuation factor and a time sensitive weight of a parameter in a channel state evaluation model according to a deviation between an actual transmission time delay and a time delay budget in a 5G domain, compensating time delay jitter of a 5G air interface through a 5G-TSN mixed flow scheduling strategy by using a deterministic transmission capability of the TSN, and determining the time delay jitter of the 5G air interface according to a service type, the time delay budget in the 5G domain and the size of a remaining time window. The flow priority is dynamically set, queue mapping is determined by 5G and TSN transmission conditions, and iterative adjustment is fed back.

This invention discloses a method and system for generating adaptive screens through voice interaction, belonging to the field of game voice interaction technology. It aims to solve problems such as low matching degree between voice interaction screens and player game intentions in game scenarios, incomplete data leading to screen deviations, and lack of dynamic optimization adapted to the game process. The method includes: real-time acquisition of player voice input signals in the game, conversion into voice input text fragments after multimodal audio preprocessing, and construction of a structured voice input sequence according to time sequence; parsing newly added structured units, extracting core game elements, and mapping and constructing a game screen requirement list; quantifying the richness of information in the list, determining whether to construct a dynamic semantic chain, calculating the time, frequency factor, and decision weight of sub-intention nodes, and pruning and optimizing; locating target game visual elements based on a game visual element mapping library, combining player preferences and device characteristics for correction, and constructing a screen interaction logic network to generate adaptive screens.

The invention relates to the technical field of fault diagnosis, provides a DCS fault diagnosis method and system for the whole process of a fluorine chemical production line, and solves the problems that it is difficult to represent the multi-stage nonlinear dynamic logic of the fluorine chemical production process and the fault source cannot be accurately positioned. According to the invention, the multi-source data stream output by the distributed control system is monitored in real time; identifying the current process state according to the change characteristics of the temperature data and the pressure data of the fluorination reactor; in the second process stage, coupling the concentration of the anhydrous hydrogen fluoride with the temperature of the fluorination reactor to generate a combined process characteristic; constructing an operation logic network based on the process state sequences of the first to third process stages in combination with the combined process characteristics; and traversing and analyzing the multi-source data stream, and positioning the fault source of the fluorine chemical production line. According to the technical scheme provided by the invention, the digital modeling of the full-flow process state of the fluorine chemical production line and the accurate positioning of the fault source are realized, and the accuracy and processing efficiency of fault diagnosis are also improved.

The present application relates to a kind of network communication method, device, equipment and storage medium.The network communication method includes: creating logical switch, and the first network parameter of logical switch is configured, to make logical switch be used to connect logical network and physical network;First service node is created, and the second network parameter of first service node is configured, to connect the communication between first service node and logical switch, and first service node and logical switch are located in same logical network;The network communication of first service node and first physical node is carried out through logical switch, wherein, first physical node is located in physical network.The method provided in the application, by network configuration to node and logical switch, shorten network communication path, improve the network efficiency that node provides service to physical network.

The application discloses an intelligent interlocking control method and system based on ship multi-hatch coordination constraint. By constructing a coordination constraint logic network describing the constraint relationship between hatches, and introducing a task token mechanism, the hatch interlocking logic can be dynamically reconstructed according to the real-time state of the ship, environmental perception information and task objectives. Through the diffusion and superposition of the task token in the constraint logic network, the adaptive adjustment of the multi-hatch constraint relationship is realized, and combined with state trajectory prediction, the potential hatch operation conflict is pre-rehearsed and actively intervened, so as to change from passive response to prior prevention. Under the premise of meeting high-priority safety constraints, the passage efficiency and system stability are comprehensively optimized to generate globally optimal hatch interlocking control instructions. The application can effectively solve the problems of insufficient flexibility and poor coordination of the existing hatch interlocking control mode, and significantly improve the overall safety and operation efficiency of the ship in multi-task and complex operation scenarios.

The application relates to the technical field of building information modeling and discloses a BIM-based existing building parameterization design method, which comprises the following steps: S1, existing condition digitization and constraint modeling; S2, multi-system design target and master control parameter setting; S3, construction of a cross-system parameterization correlation logic network; S4, integrated performance simulation and automatic multi-target optimization iteration; S5, scheme cluster interpretation and man-machine collaborative decision-making; and S6, automatic achievement generation and delivery. The BIM-based existing building parameterization design method builds an accurate BIM status benchmark model through comprehensive collection of status data, lays a foundation for design, scientifically formulates multi-system design targets and selects key controllable variables, enhances rationality and operability, constructs a cross-system parameterization correlation logic network, realizes collaborative design, integrates performance simulation and optimization iteration, visually presents a scheme, automatically generates an achievement, reduces cost, and meets the reconstruction demand.

The application discloses a kind of service data download control systems based on equipment attribute, and the equipment fingerprint information of terminal equipment is collected and trusted verification is carried out to generate equipment attribute determination result;Based on equipment attribute determination result, access traffic is routed to corresponding logical network channel and unique network exit address is distributed by traffic scheduling strategy;Access control list is configured with network exit address as the basis for discrimination at gateway;According to the access request of service data interface, real-time filtering and control are carried out, and only whitelist address set request is responded to.The application realizes the fine distinction management and control of the data download behavior of different attribute terminal equipment, effectively improves the security protection level of enterprise business data when accessed by external equipment, and at the same time, the normal data acquisition demand of legal equipment is considered.

The invention relates to the technical field of communication, and discloses a communication method, a readable storage medium and equipment. The method is applied to a first device comprising a plurality of physical network interfaces, and the plurality of physical network interfaces are encapsulated into a logical network interface through link aggregation. The first device can adopt the same media access control address to establish a plurality of communication links in one-to-one correspondence with the plurality of physical network interfaces with the second device through the plurality of physical network interfaces. When the first equipment communicates with the second equipment through the logic network interface, the network delay of each communication link in the plurality of communication links can be detected, and the communication link with the minimum network delay is adopted to carry out data transmission with the second equipment. Based on this, data transmission is always carried out between the first device and the second device through the communication link with the minimum network delay, and the situation that the service in the first device or the second device is affected due to too large network delay is avoided.