71 results about "Link model" patented technology

The invention relates to the technical field of wireless communication, in particular to a reachable rate optimization method based on an intelligent reflecting surface, which comprises the following steps of: firstly, constructing a channel model in an application scene, namely designing a system reachable rate optimization model on the basis of establishing a base station-user, base station-IRS and IRS-user three-link model; then, a phase shift matrix of the IRS and an emission covariance matrix of a base station serve as joint optimization variables, a population is divided into an elite subpopulation, a suboptimal population and a common population through a subpopulation grouping strategy of an improved particle swarm algorithm, each particle represents the composed variable, a dynamic cooperation strategy is proposed to calculate the speed in each subpopulation, and the speed in each subpopulation is calculated; and updating individual optimization and group optimization, and continuously carrying out iteration to search a reachable rate optimal solution of the user. According to the method, local search can be finely carried out while large-range global search can be carried out, the calculation complexity is remarkably reduced, and the IRS transmission effect is improved.

The invention provides a modeling and KC analysis method for a double-front-axle balanced suspension. The modeling method comprises the steps that the structural form of the double-front-axle balanced suspension is determined; constructing a plate spring model of the double-front-axle balanced suspension; under the structural form, hard point coordinates in the double-front-axle balanced suspension are determined; and establishing the hard point coordinates in the plate spring model to obtain a corresponding balance connecting rod model, and assembling the balance connecting rod model to obtain an assembly body model of the double-front-axle balanced suspension. The KC analysis method comprises the following steps: newly adding a first-bridge and second-bridge reverse jumping working condition in a KC analysis project; and performing KC analysis on the assembly model of the double-front-axle balanced suspension on the basis of the first and second axle reverse jumping working condition to obtain a KC performance index of the assembly model under the first and second axle reverse jumping working condition. By means of the method and device, the defects existing in modeling and KC analysis modes of double-front-axle balanced suspensions and vehicle suspensions in the prior art are overcome.

The invention relates to the technical field of satellite communication, in particular to a VLEO-LEO satellite network quantum key distribution method based on MILP. The method comprises the following steps: S1, establishing a satellite-ground link model containing atmospheric attenuation characteristics of a VLEO satellite and an LEO satellite, and analyzing a coupling relationship between a key generation rate and link stability; s2, constructing an MILP-ARA algorithm based on time slot division, realizing optimal path selection under multiple service priorities in the discretization topology by introducing a flow conservation constraint, a key capacity constraint and an end-to-end time delay constraint, and dynamically balancing the link quality and the key utilization rate by using an adaptive weight factor; and S3, large-scale constellation simulation verification is passed. According to the VLEO-LEO satellite network quantum key distribution method based on MILP provided by the invention, the heterogeneous constellation cooperative relay model is constructed, and the static topology of time slot division and the dynamic key management mechanism are combined, so that core challenges such as inter-satellite link high dynamics, key resource limitation and link attenuation are solved.

The invention discloses a photoelectric imaging system multi-component optimization method based on full-link model driving. The method comprises the following steps: determining a parameter value range of to-be-optimized sensor parameters of multiple components in a target photoelectric imaging system; the to-be-optimized sensor parameters comprise focal length, aperture, pixel size and integration time; based on a pre-constructed full-link simulation model of a target photoelectric imaging system and a target genetic algorithm, performing iterative optimization on the parameter value range of the to-be-optimized sensor parameters to obtain target parameter values of the to-be-optimized sensor parameters under aberration-free and stray-free conditions; and determining a target aberration range and a target stray irradiance range of the target photoelectronic imaging system based on the target parameter values of the optimized sensor parameters. According to the method, the synergistic effect and the mutual coupling restriction relation between different component parameters can be integrated in the optimization process, and the performance of the optimized target photoelectric imaging system is improved.

The application discloses a kind of space multiplexing time slot allocation method and system based on underwater acoustic channel conflict matrix, first according to underwater acoustic transmission link model, the link signal receiving success probability in underwater acoustic network is calculated;Second, according to underwater network topology information and link signal receiving success probability, generate channel conflict matrix;Then, construct time slot allocation matrix is used to mark node occupies time slot situation, from time slot conflict situation, time slot occupancy and allocation uniformity angle, to time slot allocation construct multi-objective optimization function;Finally, according to underwater acoustic channel conflict matrix and time slot allocation matrix, through global search, find the optimal solution of time slot allocation.The application comprehensively considers the allocation of underwater channel resources from three aspects of time slot conflict, time slot utilization and time slot allocation uniformity, establishes an effective fitness evaluation mechanism, can make full use of channel resources, and improves underwater acoustic communication performance.

The invention provides a transformer substation secondary system loop abnormity analysis positioning method and system, and belongs to the field of power system automation. The method comprises the following steps: establishing a network topology structure model and a machine account model; the two models are perfected through a system configuration description file, a logic connection link model, a physical connection link model and a corresponding relation are generated, and a secondary circuit digital model is constructed; receiving link breakage alarm information of the secondary loop model, determining a logic connection link associated with the abnormal signal according to the logic connection link model, mapping the logic connection link to a physical connection link model, traversing all possible abnormal physical ports in a communication link, and counting the occurrence frequency of alarms; all physical connection link models associated with the abnormal physical port of the communication link are searched, the involved physical port is analyzed, and the most probable fault node is determined by calculating the abnormal weight. According to the invention, automatic analysis of the abnormity of the secondary system loop of the transformer substation is realized, and the decomposition result accuracy and the positioning accuracy are improved.

The invention provides a method, device and equipment for modifying BIM link model data and a storage medium, and relates to the technical field of BIM design, and the method is applied to a BIM link scene and comprises the steps that an axis net of a BIM link model is loaded in a current document, when the axis net is in a model state, execution of editing operation on the axis net is forbidden, and in a current view, editing operation on the axis net is forbidden. And in response to a first state switching operation for the axis net in the current view, switching the axis net from a model state to a view state, and when the axis net is in the view state, in response to an editing operation for the axis net, modifying the axis net view data corresponding to the current view in the second data area without changing the axis net model data in the first data area. The invention provides the method. In a BIM model link scene, on the premise of not changing basic data of an axis network in a link document, flexible display and controlled editing of the axis network of the link model in a specific view of the current document are realized.

[Problem] To provide an information processing system and the like capable of optimizing an entire manufacturing line. [Solution] According to one aspect of the present invention, an information processing system is provided, the information processing system comprising a processor configured to execute following steps by reading a program, wherein the processor executes: a model acquisition step to acquire a pre-process model in which a pre-process for generating an intermediate product from a raw material is simulated, and a post-process model in which a post-process for generating a final product from the intermediate product is simulated; a condition acquisition step to acquire a process condition for each of the pre-process model and the post-process model; and an inference step to acquire, as an inference value, at least one of a characteristic value of the intermediate product, a characteristic value of the final product, a state value of a device used in the pre-process, and a state value of a device used in the post-process, by inputting the process conditions into a linked model in which at least the pre-process model and the post-process model are linked.

The present invention discloses a structured data modeling method, modeling system, and management method. The method comprises: constructing a knowledge processing link model based on structured data; constructing a knowledge label matrix model based on the knowledge processing link model; performing instantiation determination on the knowledge label matrix; and arranging the structured data and the knowledge label matrix after instantiation determination to perform data set entity placement, thereby completing structured data modeling. The method effectively handles the processing link from data to information and then to knowledge, and automatically completes the construction of the knowledge label system and the knowledge link during the modeling process, laying a solid data model foundation for the subsequent research and development of applications such as knowledge search and intelligent recommendation.

The invention relates to the technical field of artificial intelligence, in particular to a graph neural network and dynamic relationship interactive graph entity linking method, which comprises the following steps of: constructing a training data set for completing a multi-modal knowledge graph entity linking task; extracting multi-modal features mentioned from the entities in the training data set to obtain input features; a multi-modal entity link model based on multi-scale dynamic relation interaction is constructed, and model parameters are initialized; inputting the input features into a network to obtain multi-scale output features; optimizing and updating model parameters according to the loss function; repeating the steps of inputting the input features into the network, obtaining the multi-scale output features and optimizing and updating the model parameters according to the loss function until a specified round is reached; and inputting test data into the trained model, selecting the data with the maximum similarity as a final link result according to a link strategy, and by fully utilizing the features of different scales, avoiding the problem of single-scale feature loss and enhancing the multi-modal entity link effect.

The invention discloses a special protocol message cross-space semantic association reasoning method and system for an electric power monitoring system, and aims to solve the problems that protocol analysis and system security events are isolated and advanced threats are difficult to associate in existing monitoring. The method comprises the following steps: jointly analyzing a protocol transmission time sequence through Fourier transform, wavelet transform and an intelligent time sequence prediction model, and constructing a fine-grained time characteristic baseline; a sensing agent is deployed on a host, a database, security and protection equipment and other layers, and formatted security events are collected; and designing an intelligent association engine fusing graph representation learning and rule reasoning, carrying out deep semantic association on an abnormal protocol mode and a cross-level security event, and realizing accurate threat alarm based on a business behavior full-link model of reinforcement learning self-optimization. According to the method, intelligent cross-space reasoning from network protocol microscopic abnormity to system macroscopic threat is realized, and the precision, the intelligent level and the adaptive capability of network security situation awareness of the intelligent substation are greatly improved.

The embodiment of the invention relates to the technical field of knowledge maps, and provides an entity linking method, a related device and a storage medium, the method comprises the following steps: obtaining an initial search text input by a user, the initial search text comprising at least one target word; calling an entity link model to obtain at least one candidate pair matched with the initial search text, wherein the candidate pair comprises a standard word associated with at least one target word on at least one of semantic features and font features; and setting a candidate entity corresponding to the standard word in the candidate pair as a target entity corresponding to the target word in the initial search text according to a corresponding relationship between the standard word and the entity. According to the scheme, reasoning can be carried out by utilizing knowledge of similar instances in a training set during entity prediction, so that the prediction result of the model is corrected, and a correct entity is easier to output.

The invention provides a large model operation method, system and device and a storage medium, and the method comprises the steps that a model service generates model registration information according to model information input by a user and the architecture of a server where the model service is located, and sends the model registration information to a container engine; the container engine obtains a model file corresponding to the model registration information from a file warehouse according to the model registration information, generates a mirror image file corresponding to the model registration information based on the model file, and sends the mirror image file to the model service; the model service triggers the target container to run according to the mirror image file, and when the target container runs, a running link of the target container is generated; and the model service obtains the operation link, and triggers the target large model executed by the operation link to operate according to an instruction of a user. According to the method, automatic deployment and operation of the target large model can be realized, and the workload of manual installation and configuration is reduced.

The invention discloses a crane obstacle avoidance function anomaly detection method and system based on time sequence behavior recognition, and relates to the technical field of anomaly detection, and the method comprises the following steps: collecting multi-source state data of a crane in an operation process, and constructing an obstacle avoidance time sequence behavior link model; generating an expected execution event set of the obstacle avoidance action based on the obstacle avoidance time sequence behavior link model; extracting an actual execution event sequence corresponding to the expected execution event set from multi-source state data; and performing time sequence offset trend comparison on the expected execution event set and the actual execution event sequence, and judging whether the event is an obstacle avoidance function abnormal event or not. According to the invention, the time sequence behavior link model between the obstacle avoidance triggering condition and the action response is constructed, and the offset comparison is carried out on the expected execution event and the actual execution event; the problems that in the prior art, obstacle avoidance function abnormity cannot be accurately recognized based on the time dependency relation of the whole trigger-execution process, and the obstacle avoidance performance degradation trend cannot be judged are solved.

The invention belongs to the technical field of artificial intelligence, and relates to an LLM-based business order automatic input method and related equipment thereof, and the method comprises the steps: recognizing a customer business intention through business communication data; if the intention is the expected intention, binding a business entry related service component for the bill entry agent; generating a business input planning scheme; and according to the business entry planning scheme, business sheet entry is automatically carried out. When the method is applied to a financial service communication or negotiation scene, for example, when an insurance communication salesman or a customer service performs service communication with a customer, the big language processing model is utilized to identify the service intention of the customer, when the service intention is an expected intention, the big language processing model is adopted to perform service sheet input planning, and finally, the business sheet input planning is performed. According to the input planning scheme, business order input is automatically carried out, and compared with manual input, the input time can be saved, the business order input efficiency can be improved, manual input errors caused by manual input can be avoided, and the business order input accuracy can be improved.

A finite-time anti-interference control method for a universal pneumatic flexible manipulator includes the following steps: The universal pneumatic flexible manipulator is simplified to a link model using the D-H method, and kinematic analysis is performed to obtain the kinematic analysis model and the position of the end point of the universal pneumatic flexible manipulator; based on the kinematic analysis model of the universal pneumatic flexible manipulator, a dynamic model of the universal pneumatic flexible manipulator is established using the Euler-Lagrange method; the uncertainty of the universal pneumatic flexible manipulator is considered as a disturbance, and a second-order mathematical model of the pneumatic flexible manipulator is established; a finite-time extended state observer is designed to estimate the disturbance, and based on the disturbance estimate, a finite-time backstepping controller is designed to compensate for the influence of the disturbance on the system; to address the model uncertainty, a finite-time control method is designed to compensate for the influence on the position control accuracy of the pneumatic flexible manipulator, exhibiting strong robustness and high control accuracy.

The present invention proposes a method for power system evolution deduction based on hierarchical collaborative simulation, which belongs to the field of new power system long-term planning. The method includes the following steps: constructing the power system evolution boundary, simulating the power system vision design, and embedding the power system source-grid-load-storage collaborative planning simulation with short-term operation simulation to form the current stage power grid planning scheme and record the evolution stage scheme and make evolution termination judgment to connect each stage in series to form a long-term evolution result. The present invention summarizes the evolution process into three levels of simulation: long-term, medium-term and short-term according to the characteristics of different links of the power system. Through modular modeling and solution of each layer of simulation, multi-factor and multi-time scale coupling simulation is realized, and the modeling complexity and accuracy are taken into account, so it can be used for large-scale system evolution deduction; at the same time, modular modeling and solution support the customized assembly of the main link models and solution methods of the evolution system while maintaining good openness, significantly improving the scalability and adaptability of the evolution system.

The invention discloses a bulk commodity transportation and sales full-link big data processing method, and particularly relates to the technical field of big data processing. The method comprises the following steps: collecting real-time data of production, transportation, storage and sales nodes, and constructing a heterogeneous data source set; constructing a weight mapping matrix based on the data frequency and the credibility; fusing and constructing a space-time unified full-link model; extracting a dynamic feature sequence of the transportation batch, wherein the dynamic feature sequence comprises transportation time consumption, a path fluctuation deviation coefficient and a congestion abnormal coefficient; generating an event response vector through anomaly detection and fluctuation recognition; a causal backtracking feedforward prediction model is constructed in combination with historical sales data, and a sales prediction result is dynamically adjusted; according to the optimized transportation path, generating a scheduling suggestion set; incremental updating is carried out on the full-link model to realize closed-loop optimization; the method can effectively improve the prediction precision, scheduling efficiency and link stability of bulk commodity transportation and sales.

Embodiments of the present application provide a text-based entity linking and recognition method, an electronic device, and a storage medium. The method includes: determining text data as training data; inputting the training data into an entity linking model; processing the training data by a translation module of the entity linking model to obtain corresponding output features; splicing the output features with prior knowledge features to obtain fused features; and making a judgment on entity linking for the fused features to determine the linked entity as the output result of the entity linking model. By integrating prior knowledge in a knowledge graph into the model and comprehensively predicting entity linking, the accuracy of the entity linking model can be improved.

The application belongs to the technical field of cross-language entity linking, and discloses a cross-language entity linking method, system, medium, equipment and terminal.The cross-language entity linking method comprises the following steps: searching for candidate entities and constructing an entity name index; constructing an entity linking model based on different clues; performing vector embedding and fusion based on attribute-based entity linking; and performing multi-clue entity linking based on co-occurring entities.The application uses three kinds of clues to realize entity linking, the clues are entity attributes, co-occurring entities and context descriptions, and neural network structures such as LSTM, CNN and GCN are combined to perform word embedding representation and network modeling.Compared with traditional entity linking technology, the application has stronger semantic representation ability and the linking method has cross-language capability.Through analyzing different forms of information, the application realizes a multi-clue cross-language entity linking algorithm with three different structures, and completes accurate linking of news text cross-language entities such as persons and institutions and a given knowledge base.

The invention provides a manipulator control system based on visual identification and touch sensing, and relates to the technical field of manipulator control. Comprising the steps that a manipulator control module obtains joint parameters, constructs a multi-finger connecting rod model and obtains a control parameter instruction; and the visual identification module analyzes the underwater target image by adopting an SSD300 algorithm to obtain the position and shape features of the object. The path optimization module controls grabbing according to the control parameter instruction, adjusts the instruction according to the pressure distribution data to obtain a feedback control signal, and optimizes the path according to the object characteristics. And the control module operates the manipulator, and the underwater target object is grabbed according to the feedback control signal and the optimized path. According to the method, through the generated control parameter instruction, the control precision of the manipulator can be improved, the manipulator can reach the target position more accurately and conduct grabbing operation, meanwhile, the SSD300 algorithm is used for introducing underwater target detection, and underwater target detection and positioning can be achieved with high precision.

The application discloses a kind of sewage system schematic diagram generation method, equipment and medium, it is related to electric digital data processing technical field.The method comprises the following steps: identifying the sewage pipeline corresponding to sewage system in three-dimensional model, and determining the pipeline type corresponding to sewage pipeline according to the topological relation of sewage pipeline;Wherein, pipeline type includes vertical pipe main pipe, horizontal pipe main pipe and instrument branch pipe;Read the elevation information in the link model of three-dimensional model, and based on the base point selected by user, according to elevation information, generate elevation line and the elevation name corresponding to each elevation line;From the first elevation line as drawing starting point, generate the pipeline graph line corresponding to each pipeline type;At the preset position of pipeline graph line, generate the end device legend connected with pipeline graph line, and carry out pipe diameter annotation and vertical pipe numbering annotation to pipeline graph line, obtain the schematic diagram corresponding to sewage system.

The invention discloses a hot rolling data material tracking anomaly analysis method and system based on link modeling. The method comprises the steps that a cross-system timestamp link model is constructed, and nodes of all working procedures of hot rolling production are modeled as graph structure nodes; performing feature engineering processing on the time sequence data, the process parameters and the MES records of each material collected at each process node to form a unified feature vector; modeling the feature vectors by using a graph neural network model, and outputting an abnormal score of each material at each process node; performing anomaly judgment and aggregation based on the anomaly score and a preset threshold value, and identifying an abnormal material and an abnormal process; providing interpretable output to assist root cause tracing; and model closed-loop optimization and threshold adaptive adjustment are supported. According to the method, the problems of cross-system data islands, material tracking distortion and abnormality positioning difficulty in hot rolling production are solved, and the data consistency verification efficiency, the abnormality detection sensitivity and the root cause analysis capability are improved.

According to the text2sql method based on large model ensemble learning, after hyper-parameters K, RT, TN, RC, CN and MoeN are obtained, the hyper-parameters are divided into two hyper-parameter groups, the hyper-parameter groups are used for training, the K can be used for fine adjustment of a Schema-linking model, an initial PreTC set containing an initial table name and a column name is obtained by processing a user question, and the initial PreTC set is used for training. The initial PreTC set can be supplemented according to RT, TN, RC and CN to obtain an initial FinTC set, MoeN is used for training an SQL generation model, the trained SQL generation model can process a user problem and the initial FinTC set, an optimal hyper-parameter set with a good effect is obtained based on comparison of processing results, and the optimal hyper-parameter set can be used for processing the user problem and the initial FinTC set. K and MoeN in the optimal hyper-parameter set are used for generating more candidate tables and columns by the Schema-linking model and training the SQL generation model, RT, RC or TN and CN can supplement the set, and the accuracy of SQL generation can be improved through careful design of the candidate tables and columns screened by the Schema-linking model and adjustment training of the SQL generation model.

The invention relates to the technical field of industrial upper computers and three-dimensional simulation, in particular to a three-dimensional scene building method based on OpenCasCode, which comprises the following steps of: (1) importing and creating a model, including importing a conventional format model or creating regular models such as a cube, a sphere and the like; (2) setting a three-dimensional model coordinate system, and configuring, positioning and linking the coordinate system to realize accurate linking; (3) model position adjustment is achieved through manual dragging or parameter setting based on an OpenCASCADE manipulator; (4) creating equipment, and configuring equipment types, links and motion relations; (5) simulation verification: dragging a progress bar to confirm motion data; (6) scene storage and reading are carried out, and version compatibility is supported; and auxiliary tools for template multiplexing, path management and capture, measurement and a free coordinate system are also matched. Third-party software is not needed, developers do not need to modify codes when the scene changes and the axis number is not changed, and the method is suitable for various industrial three-dimensional simulation scenes.

The invention discloses a design method, a design device, electronic equipment and a computer program product, and is applied to the technical field of circuit design, and the method comprises the steps: building a transmission line link channel according to a transmission line model meeting the initial board layout requirements of a printed circuit board, and obtaining a transmission line link model; optimizing the transmission line link model by taking the signal integrity as an optimization target to obtain an optimized transmission line link model; respectively building via hole models of different via hole designs to the optimized transmission line link model to obtain a plurality of printed circuit board target design models representing different designs; and determining an optimal printed circuit board design based on the signal integrity simulation result of each printed circuit board target design model. According to the method and the device, a model building link in a PCB design process is simplified, and feasibility verification of key parts in the PCB design is reserved at the same time. And while the design period is shortened, the reliability of the PCB design in the aspect of signal integrity can be ensured as much as possible.

The present application relates to a knowledge graph entity linking method, apparatus, computer device, and storage medium. The method includes: obtaining positive training data samples based on question samples, entity mention samples, knowledge graph entity positive samples, and knowledge graph entity adjacent subgraph samples; obtaining negative training data samples based on question samples, entity mention samples, knowledge graph entity negative samples, and corresponding knowledge graph entity adjacent subgraph samples; training an initial entity linking model based on the positive training data samples and the negative training data samples to obtain an entity linking model; inputting a user question, an entity mention, a candidate knowledge graph entity, and the corresponding knowledge graph entity adjacent subgraph into the trained entity linking model to determine a target knowledge graph entity linked to the entity mention, thereby solving the problems of poor performance of the entity consistency model and low entity linking accuracy in the related art in the question-and-answer scenario.

The application relates to a kind of test data management and control methods based on service data construction, comprising: establishing service basic data structure model;Establishing service basic test data link model;According to test data number generation service, generate original test data;Based on original test data, set key field identification sensitive information;Non-original test data declaration and declaration audit;Actual test data application control, actual test data is sequentially carried out sensitive information identification, original check and non-original check, and check through test data and check not through test data are determined;Based on service basic test data link model, check not through test data is carried out full-link tracing and destruction.Compared with prior art, the application can actively and accurately identify sensitive test data, and trace and process sensitive test data link to improve the persistence and availability of business test data.

The invention discloses a multi-connecting-rod manipulator trajectory planning method based on spatial three-dimensional coordinates, and relates to the field of automatic control. The method comprises a multi-connecting-rod model conversion module, a linear trajectory planning module and an equipment interlocking module. Bidirectional conversion of a joint angle and a three-dimensional coordinate is realized through multi-connecting-rod model conversion; based on coordinates of a starting point and an end point, adopting seven S-shaped curves to plan global cooperation time, generating a smooth trajectory in combination with PVT interpolation, and dynamically converting jerk to ensure accurate displacement; bidirectional interlocking of the mechanical arm and the station equipment is achieved by presetting a safety area and judging the position in real time. The method does not need to depend on a transverse external shaft, the reachable range of the mechanical arm is expanded, vibration can be effectively restrained, collision accidents are avoided, the method is suitable for precise load transfer in the multi-station clean environment such as EFEM, and the problems that a traditional polar coordinate control method is poor in flexibility and low in safety are solved.

The present invention discloses an urban spatial atlas information platform in the form of a block and a construction method thereof, belonging to the field of urban planning; the construction method of the information platform includes inputting block form data, building an urban spatial atlas information platform, fusing case multimodal data, training an automatic clustering model for block forms, training an intelligent link model cluster, and demonstrating and interacting with a holographic sand table; this method uses three-dimensional fusion entity linking and artificial intelligence technology to cluster block forms, and then forms an updated working model of the target block by linking the information of similar case blocks; the present invention can meet the construction requirements of old city renewal, generate a block renewal working model based on multimodal data, expand the collection scope of old city renewal data, and improve the working efficiency of old city renewal.