5775 results about "Layout" patented technology

The invention discloses a multi-modal bill processing method based on dynamic knowledge enhancement. The multi-modal bill processing method comprises the following steps: S1, constructing a dynamic knowledge base containing an aging weight; s2, synchronously processing text, image and format features of the bill by adopting a multi-modal feature fusion network to generate a composite feature vector; s3, semantic-level, format-level and timeliness three-level fusion retrieval is carried out based on the composite feature vector, and a three-level fusion retrieval engine comprises dynamic weighted sorting with timeliness attenuation, a difference degree triggered artificial review mechanism and a policy sensitive slope adjustment algorithm; s4, setting a multi-expert cooperative verification system, wherein the multi-expert cooperative verification system comprises cooperative work of a rule engine, a large language model and a logical reasoning module; s5, implementing a dynamic knowledge updating mechanism, and automatically triggering incremental learning of the knowledge base when policy change or format update is detected; and S6, outputting structured data, and synchronously generating an auditing traceability chain containing a decision path. According to the method, the key field identification accuracy can be improved, and auditing traceability and non-perceptual increment updating in the whole process are realized.

The invention discloses a PCB intelligent optimization layout wiring method and device, equipment and a storage medium, and relates to the technical field of electronic manufacturing, and the method comprises the steps: obtaining the initial layout of a printed circuit board; on the basis of a first optimization algorithm, automatically adjusting the layout position of the initial layout according to a functional module area and writing design requirements to obtain an adjusted layout; optimizing the heat dissipation structure of the adjusted layout through thermal analysis to obtain a reference layout; and wiring the reference layout based on a second optimization algorithm to complete the layout wiring of the printed circuit board. According to the invention, the layout and wiring efficiency and accuracy of the printed circuit board can be improved.

The invention provides a dynamic method and system for thermal fatigue evaluation of integrated circuit packaging, and relates to the technical field of integrated circuits, and the method comprises the steps: employing a genetic algorithm to determine the arrangement position of a temperature sensor, and collecting a temperature data sequence of a temperature sensor array and the corresponding time information; establishing a thermal-mechanical coupling analysis model comprising a geometric model, a material constitutive relationship and a load boundary, and performing mesh generation on the thermal-mechanical coupling analysis model to obtain a finite element model; based on the finite element model, periodically solving by adopting a nonlinear iterative algorithm to obtain a welding spot stress-strain field data sequence and time information corresponding to the welding spot stress-strain field data sequence, establishing a corrected Coffin-Manson model considering a temperature-stress-time coupling effect, calculating a fatigue damage increment of the welding spot, and accumulating the fatigue damage increment in real time; and performing thermal fatigue state evaluation on the integrated circuit packaging structure according to the change rate of the accumulated fatigue damage value.

The invention provides an EDA software implementation method and system for memory IP layout optimization, and relates to the technical field of memorizers, the method comprises the following steps: receiving a memory IP design parameter and an optimization target input by a user, and calling a matched basic unit module from a pre-established hierarchical memory IP library according to the design parameter; an initial memory IP layout scheme is generated based on the basic unit module, the initial memory IP layout scheme is rapidly evaluated by utilizing a neural network model, a plurality of optimized layout candidate schemes are generated by adopting a genetic algorithm, and each optimized layout candidate scheme comprises different basic unit arrangements, metal layer use strategies and buffer insertion positions; performing parallel simulation on the optimal layout candidate scheme, and selecting an optimal layout scheme; and performing post-simulation verification on the optimal layout scheme, wherein the post-simulation verification comprises static time sequence analysis, dynamic power consumption analysis and electromagnetic compatibility analysis.

The invention relates to the technical field of industrial automatic control, and discloses an electric control cabinet internal intelligent layout optimization and thermal management system, which comprises an intelligent layout optimization module, which adopts a particle swarm optimization algorithm to comprehensively analyze the multi-dimensional parameter size, the weight, the heat dissipation requirement and the like of internal equipment of an electric control cabinet, realizes layout optimization, and provides a thermal management module for the internal equipment of the electric control cabinet; the method comprises the following steps: receiving equipment parameters input by a user or automatically extracted from an equipment database, including but not limited to physical sizes, power consumption, thermal loads and the like of the equipment, and optimizing targets, including maximizing a space utilization rate, minimizing heat dissipation obstruction, optimizing a maintenance path and ensuring a safe distance between the equipment. According to the internal intelligent layout optimization and heat management system of the electric control cabinet, by comprehensively applying artificial intelligence, three-dimensional modeling, a multi-element heat dissipation technology and an Internet of Things technology, optimal layout and efficient heat management of internal equipment of the electric control cabinet are achieved, and the operation efficiency, safety and maintainability of the electric control cabinet are remarkably improved.

The invention provides a low-code dynamic configuration method based on a natural language, and relates to the technical field of natural language processing, and the method comprises the steps: carrying out semantic analysis on a natural language description input by a user through an intelligent agent, extracting a page type, a field attribute, a verification rule and interaction logic, and generating structured configuration data; dynamically generating JSON metadata for describing page layout, field components, verification rules and interaction logic according to a preset template on the basis of the structured configuration data; according to page function requirements, interface metadata matched with the JSON metadata is generated, and the interface metadata comprises a request address, a parameter list and corresponding SQL (Structured Query Language) operation logic; and analyzing the JSON metadata by utilizing a low-code configuration rendering engine, dynamically generating an interactive management function page, and modifying the JSON metadata in real time and re-rendering the page through natural language interaction between a user and an intelligent agent.

The invention discloses a multi-agent joint layout model training method and device, equipment and a medium, and relates to the field of printed circuit board design. The method comprises the steps that parameter information related to components to be arranged and grouping information generated based on the types of the components and aiming at the components to be arranged are acquired, and a corresponding intelligent agent is configured for each group of components; according to the parameter information and by adopting a distributed mode, carrying out layout on respective corresponding components through each intelligent agent; obtaining decision data generated by the policy network in the layout process of each agent, and evaluating the decision data by using the value network to obtain learning experience data for each component; and according to the learning experience data, determining update parameters of the strategy network and the value network of each agent by using the objective function, updating the corresponding agent by using the update parameters, and obtaining a multi-agent joint layout model based on all the updated agents. And the layout capability of the printed circuit board is improved.

Systems and methods disclosed herein generate validated responses using artificial intelligence (AI)-based models. The system obtains / receives an output generation request (e.g., from a graphical user interface (GUI)) that can include a document set and a query set. The system classifies the query set by partitioning it into multiple query subsets and assigning a complexity score. Based on the classification, the system generates a computational workflow set using a first AI model set to retrieve a resource set responsive to the query set. The system executes the workflow using a second AI model set (the same as or different from the first AI model set) and validates the retrieved resources against predefined criteria (e.g., rules, guidelines). If the resources satisfy the criteria, the system generates a response using a third AI model set. The system can display a graphical layout on the GUI showing the request, retrieved resources, and / or generated response.

The invention relates to the technical field of modular assembly production lines, in particular to a modular flexible digital twin layout optimization method and system. Comprising the following steps: constructing multi-dimensional constraint modeling, constructing a multi-objective optimization model containing route length, equipment cost and human resource quantity, and generating an initial layout scheme based on three-dimensional geometric attributes and logistics paths of production line equipment; dynamic weight distribution is carried out, according to priority parameters input by a user, a route optimization weight # imgabs0 #, a cost optimization weight # imgabs1 # and a human resource weight # imgabs2 # are adjusted in real time, and a dynamic weight combination matrix is generated; digital twinborn simulation is carried out, the initial layout scheme is mapped to a digital twinborn platform, and the actual equipment utilization rate, the material carrying efficiency and the worker operation path are calculated through logistics path simulation; according to the scheme, dynamic balance multiple targets can be provided based on a simulation result, simulation and optimization real-time linkage can be realized, and a layout optimization technology of a multi-dimensional verifiable scheme is provided.

The invention relates to the technical field of electronic design automation, in particular to a local layout wiring method based on sequence value correction and historical guidance search, which comprises the following steps: calling a multi-source dynamic sequence value wave diffusion path search sub-algorithm, generating initial paths for all wire nets, and initializing a historical solution set and a current solution sequence; random disturbance is carried out based on the current solution sequence, and candidate solutions are generated; judging whether the candidate solutions meet design rule constraints or not; checking whether the maximum iteration frequency is reached or no improvement frequency limit exists, if yes, entering the step of outputting the optimal solution, and otherwise, returning to the step of generating the candidate solution; selecting a wiring path which has an optimal target function value and meets all constraints from the historical solution set, and outputting a final result; according to the local layout wiring method based on sequence value correction and historical guidance search, the problems of high-density region wiring feasibility, complex design rule satisfaction, multi-objective optimization, calculation efficiency and the like can be solved.

The invention provides a method and device for optimizing the layout of a digital logic circuit and a storage medium, and the method comprises the steps: dividing a layout diagram of the digital logic circuit into a plurality of cells, each cell comprises a plurality of elements, determining to-be-optimized elements in the cells based on the current layout and an optimization target of the digital logic circuit, and optimizing the layout of the digital logic circuit according to the to-be-optimized elements. The optimization target comprises at least one of a line length target, a congestion target or a density target, obtaining a target density function value according to the target model based on the layout characteristics of the cells, and adjusting the position of the element to be optimized in the cells based on the target density function value so as to optimize the layout of the digital logic circuit. By means of the method, automatic layout optimization of the digital logic circuit can be achieved, labor time and cost are saved, and the performance of a chip is further improved.

The invention relates to an app automatic execution and test system based on multi-agent collaborative perception decision, and the system comprises three agents and an upper computer which is used for collecting information and carrying out interactive execution: an execution decision agent receives the output of a planning strategy recommendation agent and a perception agent, serves as input information, generates an instruction to control the upper computer, and carries out the execution of the decision. And interacting with the to-be-tested system to complete the execution task of the to-be-tested system. The three agents are an execution decision agent, a planning strategy recommendation agent and a perception agent, and the three agents jointly form a decision system of the app automatic execution system. After a task target is given, the system can interact with a system to be tested, text recognition, icon recognition, keyboard recognition, layout recognition and anomaly recognition are carried out on a UI page where the system is located through a sensing agent, and meanwhile, system information is stored in a knowledge base after a planning strategy recommendation agent carries out offline exploration; and the execution decision-making agent autonomously reasones out an execution action according to information input of the perception agent and the planning strategy recommendation agent so as to complete execution of a task target. According to the method, multiple agents with different capabilities are combined to work cooperatively while the reasoning capability of the large model is utilized, so that the accuracy and the stability of the model are greatly improved.

Some embodiments provide a method for optimizing a mask layout generated from a design layout of an integrated circuit (IC). The method generates, based on a first mask layout, a simulated wafer image having predicted manufactured shapes representing IC components that are to be manufactured on a first layer of the IC. The method identifies a cross-sectional overlap between a first shape of a first IC component in the simulated wafer image and a second shape of a second IC component in a wafer image for a second layer of the IC. The first and second IC components are related components in the IC. Based on the cross-sectional overlap, the method modifies the first mask layout to generate a modified second mask layout for the first layer.

Embodiments provide for responsive optimization of websites. In some examples, a layout graph data structure is generated based on applying a trained layout model to extracted website elements from an input object including one or more website building tools. A webpage layout data structure is generated based on applying a trained structure optimization model to the layout graph data structure. An optimized webpage that is configured to render according to a plurality of screen parameters is generated based on applying a trained responsive optimization model to the webpage layout data structure and a plurality of screen parameters.

The invention relates to a method for checking spacing in a large-scale integrated circuit layout, which belongs to the technical field of integrated circuit computer aided design, and comprises the following steps: S1, dividing an integrated circuit layout to be processed into a plurality of local layouts according to a preset division rule, including an original local layout and an interference local layout; outwards expanding the edges, determined by a preset division rule, of the interference local layouts to obtain expanded local layouts; s2, checking whether the edges of all the functional parts in all the local layouts meet the constraint condition upper limit corresponding to the selected preset checking rule one by one according to the currently selected preset checking rule so as to screen out the edges meeting the potential conditions; s3, forming associated edge pairs, and screening the associated edge pairs through a filter to obtain associated edge pairs meeting filtering conditions; and S4, carrying out secondary cutting on the associated edge pairs according to the cutting ranges of the associated edge pairs meeting the filtering conditions.

The invention relates to the technical field of connector layout optimization, and discloses a high-density four-row connector layout intelligent optimization method. The method comprises the steps that design parameters of four rows of connectors on the high-density circuit board are collected, the design parameters comprise connector position coordinates, the number of pins and electrical impedance values, and related environment data comprise temperature distribution, electromagnetic interference intensity and vibration frequency; performing standardized alignment processing on the design parameters and the environment data to form a layout data set with unified dimensions; the layout optimization model is used for processing the layout data set, an initial layout scheme is generated, and the initial layout scheme comprises connector arrangement sequence and position adjustment suggestions; monitoring change data of the working state of the circuit board in real time, wherein the change data comprise current fluctuation and heat distribution updating; and identifying a layout abnormal condition based on the change data, performing iterative correction on the initial layout scheme according to the layout abnormal condition, and outputting a final optimized layout scheme. The method can dynamically adapt to the working state of the equipment and improve the layout rationality.

Some embodiments provide a method for optimizing a mask layout for producing masks for manufacturing an integrated circuit (IC) by defining multiple layers of components on a substrate. The method generates, based on a first mask layout, a simulated wafer image including representations of IC components that are predicted to be manufactured for a first layer of the IC based on a received mask layout for the first layer. The method compares the simulated wafer image to a target wafer image including optimal representations of the IC components for the first layer. The comparison uses data regarding locations of components in at least one additional layer that interact with components in the first layer. Based on the comparison, the method modifies the first mask layout to generate a modified second mask layout for the first layer.

The invention discloses a chip layout method and system based on reinforcement learning and back-end optimization. The method comprises the following steps: constructing a layout optimization model; generating a corresponding position mask, a line mask and a view mask; fusing the position mask and the line mask to generate a local feature, and fusing the line mask and the view mask to generate a global feature; performing feature fusion on the local features and the global features to generate comprehensive features; according to the embedded vectors of the comprehensive features and the global features, generating the probability of various layout optimization actions which should be adopted, and calculating the excitation corresponding to the state after each round of action is updated and the value of the excitation; performing parameter updating according to newly stored experience; training the layout optimization model through the original data set; and eliminating the layout overlapping part to obtain a final layout map. According to the invention, a network can capture a complex mode in chip layout in a deeper level, the layout efficiency of the chip is improved, a more effective layout scheme can be explored, and the exploration efficiency is improved.

The invention provides a game strategy intelligent layout generation and dynamic optimization method and device and a storage medium. The method comprises the following steps: when a layout trigger event is detected, generating a layout generation request; in response to the layout generation request, calling a knowledge graph engine to perform correlation calculation on the relational data, and screening from a preset layout template library based on a correlation result to obtain a plurality of initial layout candidate templates; inputting the initial layout candidate template into a low-code layout editing module, and generating a corresponding layout description file according to a mapping rule of the page component and the component parameter; inputting the layout description file as a current state into a reinforcement learning decision model, and outputting target layout configuration in combination with user portrait data; and sending the target layout configuration to a front-end rendering engine, and rendering the game strategy page according to the target layout configuration. According to the method, intelligent generation and real-time dynamic optimization of the game strategy page layout can be realized, and the personalized degree of the layout and the user interaction experience are improved.

The present invention relates to the technical field of tray line layout optimization, and provides a tray line layout optimization method and system based on Internet of Things. The method comprises: receiving from a user terminal a circuit topological structure diagram of a preset area to perform cable relationship assignment; constructing a cable layout tree diagram; extracting an i-th level cable set for multi-level clustering analysis; generating a cable set clustering result; setting wiring constraint directions and wiring constraint areas; setting tray distance constraint parameters; generating a three-dimensional model of the preset area; on the basis of the clustering result and under the described constraints, performing cable layout optimization in the three-dimensional model; generating a tray line layout optimization scheme; and sending the tray line layout optimization scheme to the user terminal. The present invention solves the technical problems in conventional tray line layout methods of an unsatisfactory layout result caused by relatively vague layout constraints and layout requirements, and low layout efficiency caused by excessive manual intervention and lack of automation and intelligence in the layout process.

The invention provides an RAG knowledge base construction method based on layout analysis and query generation. The method comprises the following steps: receiving a plurality of query documents; for each query document, performing layout analysis on the query document by utilizing a layout analysis tool; segmenting and merging the text content according to the layout analysis result to obtain a plurality of text segments; generating a title for the query document by using a large language model, and respectively generating a preset number of queries for each text segment; for each text segment, generating a first vector based on the title and the text segment, and querying and generating a second vector based on a preset number of the text segments; and merging and storing each text segment with the first vector and the second vector of the text segment to construct an RAG knowledge base. Therefore, the text segments are obtained by performing effective layout analysis on the query document, and the query is generated for each text segment to expand semantics, so that a more comprehensive RAG knowledge base is constructed, and the retrieval enhancement generation effect of the system can be improved.

The invention relates to the technical field of resource allocation, in particular to a data preset learning-based dynamic material allocation system for multiple stations, which comprises a topology modeling module, a demand clustering module, a strategy generation module and a decision optimization module. According to the method, laser ranging and dynamic time warping are combined, the work station layout is converted into a moving time consumption parameter, a space correlation coefficient is adjusted according to a difference value proportion, a topological relation matrix is updated in real time, DTW quantifies the mode similarity of a demand interval standard deviation and a usage variable coefficient, a multi-dimensional demand feature vector is constructed, and the prediction and actual consumption matching degree is improved; the method comprises the steps of establishing a response capability curve based on OEE data, dynamically associating residual capacity with demand characteristics through linear programming, realizing strategy pre-generation and capacity early warning, constructing a cooperation unit through a Hungary algorithm, matching material and equipment parameters through cosine similarity, triggering strategy reconstruction, synchronously updating topology, forming a closed-loop optimization system and enhancing the cross-station dynamic response capability.

The invention provides an electromagnetic compatibility test method and system for PCB design, a PCB comprises a schematic circuit diagram and a structural model, and the method comprises the following steps: extracting high-frequency signal characteristics in the schematic circuit diagram to obtain an electromagnetic simulation parameter set; performing multi-physical field coupling modeling according to the electromagnetic simulation parameter set and the structure model to obtain an electromagnetic field-circuit model; performing frequency-time domain hybrid excitation loading on the electromagnetic field-circuit model to obtain an electromagnetic noise distribution diagram; performing gradient descent optimization on layout parameters of the structure model according to the electromagnetic noise distribution diagram to obtain an anti-interference layout scheme; and performing multi-working-condition Monte Carlo simulation and residual error calibration on the anti-interference layout scheme to generate a correction guidance library.

Some embodiments provide a method for optimizing a mask layout generated from a design layout of an IC. Based on an initial mask layout for a first layer, the method generates a simulated wafer image including shapes representing components of the first layer, including a first component that overlaps with a second component on a second layer. The method identifies a more critical first region and a less critical second region of a first shape of the first component that both overlap with a second shape of the second component. The more critical first region is more important to ensuring overlap of the first shape with the second shape. To improve overlap between the first and second shapes, the method uses different costs for the more critical first region and the less critical second region to modify the initial mask layout to produce a modified mask layout.

The invention relates to an automatic assembly system and method for multi-scale digital twin components, and the system comprises a semantic relationship construction module which is used for carrying out explicit definition on the structural features, functional attributes, spatial layout requirements and logic dependency relationships of the multi-scale components, and constructing semantic relationships among the three types of components; the semantic reasoning and constraint engine module is used for carrying out logical reasoning through the semantic relationship constructed by the semantic relationship construction module and judging whether the component combination meets the assembly constraint or not; the assembly generation and configuration module is used for generating an assembly topological structure and a connection sequence of a system shelf according to the component candidate set output by the semantic reasoning and constraint engine module; and the man-machine interaction and visualization module is used for supporting a feedback closed loop between the engineer and the system and providing a visual display interface. The problems that an assembly method depends on artificial experience and is difficult to support high-frequency and multi-scene production line reconstruction are solved, and the method has higher semantic interpretation capacity, automatic combination capacity and context adaptive capacity.

The invention discloses an intelligent file service system generation method based on a low-code development mode. The method comprises the following steps: constructing a file service core data model, defining file metadata fields, a storage structure and an association relationship, and forming a standardized data architecture. According to the method, the core data model, the visual page component library and the drag-and-drop workflow template are constructed, linkage binding of data-component-process is achieved in combination with a low-code engine, and the efficiency bottleneck of a traditional development mode is broken through; through a three-way real-time synchronization mechanism, real-time hot repair and dynamic branch judgment, page layout and flow rule adjustment can take effect immediately through visual configuration, and the problem of dynamic demand response lag is solved; through the intelligent resource scheduling logic compiled through environment adaptation, a differentiation scheme is generated for different deployment environments, the configuration difference influence under a private cloud and server mixed deployment scene is remarkably reduced, the deployment failure rate is greatly reduced, and the system online stability is improved.

The invention provides a design method and system of a touch interaction interface. Wherein user behavior habits are collected, key elements are extracted, a user participation degree evaluation system is constructed, and a behavior habit analysis report is generated; carrying out situation modeling processing by using a situation awareness layout optimization algorithm, carrying out adaptability analysis by adopting an environment adaptation technology, and generating environment adaptation interface configuration; a long-term preference tracking algorithm is used to record and learn personalized preference settings to add personalized components, a progressive interface evolution method is used to carry out progressive evolution processing, an interactive feedback mechanism is introduced step by step, an interactive module is added, and an optimized layout scheme is generated; and constructing a learning library according to the user behavior habits, importing interaction behavior data to perform behavior pre-judgment, adjusting interface elements and a response mode, and generating a touch interaction interface optimization strategy. According to the technical scheme provided by the invention, the man-machine interaction fluency and the user experience of the touch interaction interface are improved.

The invention discloses an AI-based digital media interface design optimization method, and relates to the technical field of interface design, and the method comprises the following steps: collecting multi-modal interaction input data of a user in real time, and constructing a user behavior sequence tensor with multiple time steps and multi-modal interaction dimensions; carrying out joint modeling on the user focus state vector, the user behavior sequence tensor and the user real-time feedback vector; generating a recommended new layout scheme based on an output result of the interactive intention weight model; when the probability is higher than a preset threshold value, triggering an interface pushing mechanism; after the interface is rearranged, data are fed back according to subsequent interaction behaviors and feedback data of the user; the technical problem that the layout or position of the interface element cannot be dynamically adjusted according to the behavior of the user in the traditional interface design is solved.

The invention discloses a self-adaptive dynamic interface generation method and system based on a computing power host operation and maintenance platform, and relates to the technical field of operation and maintenance interface dynamic optimization. Aiming at the problem of static stiffness of an operation and maintenance interface in a complex scene, the scheme is adopted as follows: collecting user behaviors, a context environment and equipment data, and fusing into a multi-dimensional state vector; inputting the multi-dimensional state vector into a deep reinforcement learning model, and generating a dynamic interface strategy including layout component dynamic arrangement and function button priority ranking; designing a hierarchical multi-target reward function fusing operation efficiency reward, accuracy reward and cognitive load penalty, and performing strategy optimization; analyzing the optimized dynamic interface strategy through the cross-terminal rendering capability of the WebXR engine, and generating a front-end page adaptive to the current terminal; and continuously feeding back the collected data to the deep reinforcement learning model, and updating the network weight through a strategy gradient algorithm to realize user preference migration. According to the method and the device, cross-terminal self-adaptive dynamic interface generation can be realized.

Systems and methods are disclosed relating to the installation of building systems, such as security systems, using machine learning models, such as generative artificial intelligence models. For example, a method can include receiving a prompt indicating inputs from a user that represent components of a building system to be installed. The method can include applying the prompt to a machine learning model comprising at least one transformer, the machine learning model trained using one or more natural language prompts and example system installation data to cause the machine learning model to generate a target layout and installation for the building system. The method can further include presenting the layout for the system using at least one of a display device or an audio output device.