111 results about "Design specification" patented technology

The invention relates to the field of chip verification, and provides a chip verification method, device and equipment, a medium and a chip. The method comprises the following steps: establishing a dynamic simulation verification environment of a to-be-verified design, and generating a plurality of test scenes and corresponding test excitation according to a design specification definition; sending the test excitation to a driver through a sequencer, converting the test excitation into a signal conforming to a to-be-verified design interface protocol by the driver, and transmitting the signal to the to-be-verified design; the monitor collects an input signal and an output signal of a to-be-verified design in real time, converts the input signal and the output signal into transactions, and transmits the transactions to the scoreboard; comparing the reference model with an output signal of the to-be-verified design to generate a dynamic simulation verification result; according to the dynamic simulation result, the state space is reduced, state space traversal is carried out on a design part which is not covered by dynamic simulation in the design to be verified, and a formal verification analysis result is generated; and evaluating the to-be-verified design according to the formal verification analysis result.

The invention discloses an engineering drawing compliance intelligent review method and system constructed based on a knowledge base and a large model. The method mainly comprises the following steps: intelligently analyzing a design specification in a natural language form by utilizing a large language model, and dynamically constructing a machine-readable rule base and a knowledge base; uniformly converting the multi-format engineering drawing into a structured intermediate format; functional areas and primitives in the drawing are recognized through a computer vision model, and natural language information describing attributes of the functional areas and the primitives is generated; and finally, in combination with the knowledge base and natural language description, performing compliance judgment by utilizing the reasoning ability of the large language model, and generating an interpretable review report. According to the method, computer vision and a large language model technology are fused, so that the defects that traditional manual review is low in efficiency and prone to making mistakes and a traditional automatic tool lacks semantic understanding ability are overcome, and efficient and accurate engineering drawing automatic compliance review with deep semantic understanding ability is achieved. Figure 1 of the abstract is a system architecture block diagram.

The invention provides a UI interface automatic generation method and system based on natural language description, and the method comprises the steps: receiving a natural language demand description text, carrying out the guided completion of fuzzy description in the demand description text, and outputting a standardized demand text; semantic analysis is carried out on the standardized demand text, functional association nodes of UI components and data fields in the text are positioned, analysis deviation is corrected through a domain knowledge graph, and key information including component parameters, field verification rules and component priorities is obtained; calling a design specification library comprising a sub-scene visual standard and a dynamic layout algorithm, and a component library comprising a parameterized configuration function; performing component matching and parameter adjustment based on the key information, a design specification library and a component library to obtain a target component, and generating a front-end code or a low-code blueprint of the target component; and rendering to obtain a UI interface. According to the method and the device, the problems of low demand transmission efficiency, high development threshold and difficulty in multi-terminal adaptation in the prior art are solved.

The invention relates to the technical field of engineering design intelligent review, and discloses an engineering design specification review method based on a multi-modal large model, and the method comprises the steps: building engineering design structured information based on the multi-modal data standardization of an engineering drawing, a specification text, an engineering design data table and an engineering design calculation book; according to the engineering field type identification information, in combination with an AI intelligent identification algorithm and an engineering design review multi-modal large model program based on big data storage, carrying out intelligent and accurate construction of a multi-modal large model program required by engineering design specification review; based on engineering design object feature information, engineering field type identification information and engineering design drawing type analysis information, an AI intelligent identification algorithm and a scientifically stored engineering design review comprehensive graph are combined to accurately construct a comprehensive knowledge graph required by engineering design specification review. The engineering design specification review comprehensive knowledge graph is intelligently matched based on the engineering design review scene, and the quality of engineering design specification review is improved.

The invention provides an automatic software development system based on multi-agent cooperation, and the system comprises a demand analysis agent which is used for receiving a natural language demand input by a shared working area, generating a demand specification document containing an acceptance standard based on the natural language demand, and sending the demand specification document to the shared working area; the detailed design agent is used for receiving a demand specification document input by the shared working area, performing system design based on the demand specification document, generating a design specification document and sending the design specification document to the shared working area; the project development agent is used for receiving a design specification document input by the shared working area, performing code development based on the design specification document, generating an executable code and sending the executable code to the shared working area; and the shared working area is used for storing and forwarding the natural language demand input by the user and the output of the demand analysis intelligent agent, the detailed design intelligent agent and the project development intelligent agent. The development efficiency can be improved, the labor cost is reduced, and the software quality is improved.

A method for automatically generating a research and development proposal for an in vitro diagnostic kit, performed by a server for automatically generating the research and development proposal, includes: acquiring an initial proposal including intended use information for the kit; providing the acquired initial proposal to a pre-trained language model; acquiring a specification (spec) for the kit from the language model receiving the initial proposal, wherein the acquired specification for the kit includes at least one of a technical specification to be used for the research and development of the kit, a resource specification for the research and development, a design specification for the kit, a regulatory approval specification that is needed to meet for approval, and a performance specification for the kit; and controlling to generate the research and development proposal for the kit including the acquired specification and the intended use information for the kit.

One variation of a method includes: receiving a descriptor of a design problem; selecting a set of output characteristics based on a set of language signals extracted from the descriptor; selecting a set of functions relating a set of input parameters to the set of output characteristics; accessing a virtual model representing a design solution and defining a set of model variables; linking a subset of input parameters to a subset of model variables analogous to the subset of input parameters; in response to the set of model variables omitting a model variable analogous to a first input parameter in the set of input parameters, prompting a user to update the virtual model to include a first model variable analogous to the first input parameter; and compiling the set of functions, the set of output characteristics, and the set of input parameters into a design specification.

The invention discloses a three-dimensional design model conformity analysis method and system based on a large language model, and the method comprises the steps: obtaining the related data and design specification constraint conditions of a three-dimensional design model, and building a data interaction channel through a collaborative review platform; calling a semantic geometry collaborative verification algorithm to process the data and extracting feature parameters; generating a rule adaptation weight matrix through a space rule learning adaptation model; constructing a mapping relation between the feature vector and the design specification through a CAD point cloud feature coding mapping model; carrying out multi-dimensional conformity verification on the basis of the result; and outputting the comprehensive analysis data set. The system realizes deep cooperative processing of geometric and semantic data of a three-dimensional design model through multi-unit cooperative linkage and integration of an algorithm and a platform function, improves the accuracy of rule adaptation and feature mapping, comprehensively covers a conformity verification dimension, and meets a high-precision analysis requirement in a complex scene.

The invention provides a PCB intelligent engineering design automation system and method, a module packaging configuration unit determines m module distribution strategies according to a first design schematic diagram, and a layout and wiring unit carries out layout and wiring design on corresponding function modules in the m module distribution strategies according to a first design specification and first design precision, obtaining m sample PCB sets; a performance simulation unit performs performance simulation on each PCB sample in the m sample PCB sets to obtain n performance simulation results; the comparison unit performs performance evaluation on the corresponding PCB samples according to the n performance simulation results to obtain n performance evaluation values; and the recommendation unit determines a target performance evaluation value according to the n performance evaluation values, the first design cost budget and the first performance evaluation value, and obtains a PCB sample corresponding to the target performance evaluation value, so that the PCB design cost performance can be improved on the basis of ensuring the product performance based on the PCB.

The appearance design system (10) of the elevator car is provided with a processing unit (30), and the processing unit (30) inputs design specification information related to the design of the elevator car by a user of a user terminal (50) and the like. And a design specification information selection unit that selects component information from a storage unit that stores component information indicating the design of a plurality of components constituting the lift car of the elevator, changes size-related information in the selected component information on the basis of the design specification information, and designs the lift car of the elevator on the basis of the component information in which the size-related information has been changed.

The invention belongs to the technical field of power transformer insulation design and verification, and particularly relates to a power transformer insulation characteristic data analysis and performance prediction method and system, and the method comprises the steps: constructing a structured sample set containing multi-dimensional design parameters and lightning impulse response tags based on a three-phase differential prototype; identifying key variables in the structured sample set and extracting physical consistency constraints; and inputting the key variable and the physical consistency constraint into a preset XGBoost prediction model, and outputting a prediction value and a confidence interval. According to the method, the influence of multi-dimensional parameters on the insulation impact indexes is disassembled into clear main effects and interaction effects, and a traceable mechanism map is formed. Compared with a traditional method which depends on single-point experience judgment or post trial and error, the method has the advantages that standardized data evidences and explainable output are provided, and designers can conveniently and quickly position key constraints, formulate optimization priorities and directly backfill results to design specification and parameter boundaries.

The application provides a substation civil engineering large model training method and system integrating design specifications, and belongs to the field of substation civil engineering design. The method comprises the following steps: constructing a unified substation structure diagram; obtaining a substation civil engineering design specification text and parsing it into design rule embeddings, including trigger functions, constraint functions, rule weights, and repair templates; inputting the structure diagram into a multi-modal large model to generate an initial design output representation; performing a differentiable constraint projection process on the initial design output representation based on the trigger functions, constraint functions, and rule weights to obtain a projected design output representation; verifying the compliance of the projected design output representation with the design specifications based on a symbolic verifier, and generating corresponding rule violation counterexample information when the verification fails; performing a repair generation operation on the rule violation counterexample information based on a repair generator to obtain a repair candidate design, and backflowing the repair candidate design for large model training. The application can enable the design specifications to play a constraint role in the model generation and training stages.

The invention provides a ship transition skew design system and method, and the system comprises a data acquisition and analysis module which obtains a ship three-dimensional design model, and automatically extracts the geometric information of a plate and the process attribute information of a butt joint boundary from the ship three-dimensional design model; the rule management database is used for storing transition skew discrimination rules and a design rule base; the judging module is used for judging a target docking boundary needing to be provided with a transition slope according to a judging rule; the parameter design module is used for automatically calculating and generating corresponding transition skew geometric parameters for each target docking boundary; and the model updating module is used for modifying the ship three-dimensional design model according to the transitional oblique geometric parameters. The system integrates discrimination rules and design specifications, and reduces the dependence of design on designers, reduces errors caused by human experience and improves the design quality when the transition skew parameters are judged and calculated.

The embodiment of the invention provides a construction method, device, equipment and medium of an equipment alarm system for the preliminary design stage of aviation equipment, and the method comprises the steps: carrying out FTA analysis according to equipment-level demands analyzed by PSSA and security demands transmitted by the system, and forming initial equipment alarm information; performing FMEA analysis according to reliability requirements transmitted by the system, and fusing the initial equipment alarm information according to an analysis result to obtain final equipment alarm information; determining BIT detection of a corresponding functional circuit level for each failure mode, determining automatic detection and / or manual detection corresponding to each failure mode, and forming an equipment level test scheme; and determining a logical relationship between BIT detection of different functional circuit levels in the equipment level test scheme, generating an alarm design specification, and carrying out software coding and hardware design based on the alarm design specification. The scheme has higher scientificity, systematicness and integrity.

The application provides a personalized frame lightweight design method and system, and belongs to the technical field of frame optimization and personalized design. The method comprises the following steps: receiving user input personalized frame design requirements, determining a target design frame template, analyzing the personalized frame design requirements to obtain frame personalized design parameters, fusing the frame personalized design parameters and a frame data set to obtain a lightweight design data set, and constructing a frame finite element model based on the lightweight design data set; and solving the frame finite element model. The system is used to realize the method. The technical scheme of the application can fully consider the personalized requirements of users when performing frame lightweight design, can maximize the fusion of user personalized requirement parameters on the premise of meeting design specifications, so that the frame optimization design process realizes interaction with the user, and the product experience can be improved.

This invention discloses an automatic event extraction method for construction quality design specifications, comprising: acquiring and preprocessing the original specification dataset; inputting the data into a pre-trained language model for processing to obtain the event trigger word recognition results of the preprocessed dataset; employing single-trigger word and multi-trigger word classification processing methods, utilizing rule matching methods and deep learning models to jointly process multi-trigger word cases, processing the multi-trigger word recognition results of the preprocessed dataset sequentially according to colon, semicolon, and comma order, and obtaining a complete meta-event dataset using deep learning methods and similarity methods; mining the association between measurement units and measurement terms based on clustering methods, and further supplementing event semantics using similarity methods to improve event expressiveness. This invention, through a combination of grammatical matching and deep learning, completes the generation of specification inspection data, contributing to increasing the number of publicly available Chinese construction datasets.

The application discloses a kind of based on deep learning's staged tension prestressed long-term loss prediction method, belong to deep learning field, this method solves the problem that traditional prestress determination method prediction result robustness is poor, including: based on standard drawing set and bridge design specification obtains bridge original data;Based on construction environment condition and concrete age, calculate concrete material attribute;Based on bridge original data and concrete material attribute, utilize finite element software to simulate the staged tension process of prestressed reinforcement under different working conditions, generate bridge prestressed reinforcement staged tension loss data set;Based on multilayer perception machine neural network, construct prestressed loss prediction model, based on prestressed loss prediction model, bridge prestressed reinforcement staged tension loss data set is handled, and the long-term loss prediction result that prestressed reinforcement is caused by shrinkage and creep is output.The application can effectively predict the stress loss of prestressed reinforcement, improve the robustness and accuracy of prediction.

The invention discloses an intelligent engineering full-cycle digital management system, and relates to the technical field of digital management, and the system comprises a live-action generation module which is used for generating a three-dimensional live-action model according to collected engineering image data, and carrying out the design specification recognition through combining with preset engineering design behavior specification constraints; the construction evolution module is used for executing construction evolution simulation and performing construction compliance review based on preset construction specification constraints; and the decision optimization module is used for constructing a knowledge graph based on a pre-acquired engineering knowledge base, executing engineering decision correlation analysis and developing decision collaborative optimization. According to the invention, a driving management system covering the whole life cycle of design, construction, operation and maintenance is constructed, digital management and control of the whole process of the project are realized, the fragmentation and experience dependence problems of traditional project management are broken through, a closed loop of data acquisition, intelligent analysis, knowledge sharing and dynamic optimization is formed, and the project management efficiency is improved. Project management is promoted to be transformed to full-factor digitalization and full-process intellectualization.

This invention relates to the field of sensor miniaturization technology and discloses a method for miniaturizing a pressure resonant transmitter. The method includes: analyzing design specifications to break down the transmitter into multiple functional units; obtaining the morphological and electrical parameters of each unit, and accordingly forming compression and fusion metrics to quantify the physical compression potential and functional fusion feasibility; deriving improvement coefficients for each unit based on these metrics, and then reconstructing these coefficients according to the dependencies between units to accurately reflect their optimization value in the overall system; prioritizing the processing of the reconstructed coefficients, and automatically generating an optimization scheme. This invention overcomes the shortcomings of existing technologies that rely on local experience and lack a global perspective through dual quantitative indicators and system-level dependency analysis, achieving precise miniaturization design and system optimization.

The present application relates to the technical field of computer application, and in particular to a method for controlling automatic composition of construction engineering bill of quantities. From the value theory and engineering price composition, combined with design specification and construction technology, a maximum theory set of project characteristics and project characteristic values is established, and a complete project characteristic and characteristic value standard database is formed. Secondly, according to the project characteristic and characteristic value standard database, the existing quota database is matched to form a complete project characteristic (value)-quota subgoal association database. The problem of inaccurate control price and bid price caused by incomplete description of project characteristics and project characteristic values in the engineering bidding practice and quota subgoal error is solved.

To automatically generate a drawing including at least one of process information and sequence information.SOLUTION: The drawing generation system 1 includes a drawing generation unit 10 that receives an input of input data including a design specification that is a book in which design information of a plurality of devices is described and outputs output data including drawing data. The drawing generation unit 10 includes a device information generation unit 11 that generates device information on the devices based on the input design specification, and a connection information generation unit 12 that generates connection information indicating a connection relationship between the devices based on the input design specification, and the drawing generation unit 10 generates drawing data in which a plurality of figures including symbols representing the devices and lines connecting the devices are drawn in a frame of the drawing based on the device information and the connection information generated by the device information generation unit 11 and the connection information generation unit 12, and output the generated drawing data.SELECTED DRAWING: Figure 2

The application relates to an artificial intelligence-based large model design construction method, system, device and storage medium, wherein the large model design construction method comprises the following steps: first, based on the text or voice input of a user, input information is taken as a guide word to generate a corresponding concept design; then, the NLP2SQL technology is used to carry out multi-round and multi-conversation with the user to automatically extract design parameters; then, a vector retrieval technology is used to retrieve the user demand in a design specification to obtain design specification parameters with the highest similarity to the user demand; finally, parameterized modeling design is carried out in combination with a design software to obtain a final design effect. The application can automatically generate a large model design meeting the requirements according to the design specification and user requirements, and improve the design efficiency and quality.

The invention relates to the technical field of industrial data processing, and provides an equipment life cycle prediction method and system, and the method comprises the steps: building a plurality of stress levels based on the design specification of equipment, determining the corresponding life for each stress level, and enabling the life to be the bearable cycle number of the equipment under the stress level; classifying the operation records of the equipment according to the stress grades to obtain the cycle index of each stress grade; calculating load fluctuation damage based on the cycle index and bearable cycle index of each stress grade; counting the occurrence frequency of short-circuit events in the operation record of the equipment, and calculating short-circuit impact damage based on the short-circuit events; and calculating based on the load fluctuation damage and the short circuit impact damage to obtain a residual life evaluation result. Compared with the prior art, the method has the advantages that the accuracy is improved while the prediction efficiency is greatly improved.

The invention discloses a method and equipment for constructing a data warehouse model, a storage medium and a product, and relates to the technical field of artificial intelligence, automation of table-level design and field-level design is completed through a large model, a field design template is combined with the large model to ensure a structured design specification, field collaborative design is performed based on a table-level context, and the design efficiency is improved. And outputting the design core elements of the data warehouse model meeting user expectations and normative standards. By analyzing the demand document and automatically generating based on the core elements of the large model logarithmic bin model, the time consumption of manual lookup is remarkably reduced, by deeply embedding the structured design template into the generation process, it is ensured that an output result is forcibly aligned with an organization standard, and by combining table-level context with field-level design, the design efficiency is improved. Context logic fusion of field name design and table level design is ensured, logic consistency in the model is improved, and design efficiency and design quality of the number bin model are improved.

The present application relates to precision machining on-machine measurement technology field, disclose a kind of precision machining geometric error on-machine inspection and precision control method of GPS dual mapping.It obtains GPS design specification data, nominal geometric model and on-machine measurement point set data and carries out coordinate unification;Accordingly, GPS specification operation operator chain with specific execution sequence is constructed, and under the constraint of machine tool measurement, the order is kept unchanged to generate test operation operator chain;Based on the on-machine measurement point set data, a multi-scale skin surface model is constructed and a substitute test surface model is generated to obtain geometric error amount;Based on the substitute test surface model, the overall residual of the test side is calculated, combined with the overall residual of the specification side and the operator execution metric to calculate the operator invariant, the operation consistency is determined, and finally the precision control is adjusted.The structure of design specification and on-machine test operation is consistent, so that the existing distortion evaluation and blind compensation problem is fundamentally overcome.

This invention relates to a production method and a metal spring for ensuring precise forming of metal springs in the field of information technology. The method includes: acquiring design specification data and material property data of metal springs in electronic devices; determining key dimensional parameters of microstructures through classification processing; constructing an initial forming model based on the key dimensional parameters; simulating the material flow process using finite element analysis, optimizing the flow path, verifying forming stability, and determining the final forming model; extracting stress distribution characteristics from the simulation data and generating a stress distribution map; adjusting the process parameter sequence through optimization algorithms to balance the stress distribution; guiding production simulation based on the optimized process parameter sequence to construct a quality fluctuation model; extracting influencing factors from the quality fluctuation model, integrating them into production control data, updating the process approach, determining the final process flow parameters, and generating a production plan that ensures precise forming of microstructures and consistent elasticity.

A design support device (2) of the present invention includes: a virtual space creation unit (211) which creates image data of a virtual space simulating a site of a design target; a penetration creation support unit (213) which has a function of creating a penetration for a penetration formation target portion in the virtual space, and is capable of creating image data of an installation area image in which an image of an area where the penetration is formable is superimposed on an image of the penetration formation target portion in the virtual space in a case where information regarding a design specification of the penetration to be created in the penetration formation target portion is acquired from an external device; and a communication unit (23) which is communicably connected to the external device, receives information regarding a design specification of the penetration from the external device, and transmits image data of the installation area image created by the penetration creation support unit to the external device.

The invention relates to the technical field of quality inspection, in particular to a CAD quality batch inspection method, which can utilize table tool software to call an inspection module to execute standard inspection, secondary development inspection and visual feature quantity statistics on CAD files, count the total error number and the total warning number according to the results, and calculate and output scores of the CAD files; sorting the CAD files according to the error number; and according to the inspection result, generating a structured report. It can be understood that according to the technical scheme, when mass CAD file quality inspection is carried out, the wanted quality inspection result can be obtained only by operating table tool software, and operation is convenient and fast; meanwhile, self-defined secondary development inspection items can be constructed on the basis of standard inspection items, and customized design specifications of different enterprises are adapted; the checking module is called for batch checking, and the output checking result is accurate; the efficiency of CAD quality batch inspection is improved, and the accuracy of parallel engineering is improved.

The invention discloses a BIM-combined process design optimization platform and method, and relates to the technical field of data processing, and the platform comprises a model creation module which is used for obtaining a structure design general plan and a design specification standard, and building a professional BIM model set; the collision detection module is used for integrating the three-dimensional model to carry out collision detection to obtain space structure collision parameters; the optimization analysis module is used for constructing a process design optimization parameter space based on the collision parameters; and the visual plotting module is used for carrying out global optimization in the parameter space and mapping an optimization result to the three-dimensional model to realize updating and visual plotting. The technical problem that the design consistency and reliability are insufficient due to the fact that space conflicts are difficult to find in time in the multi-specialty collaborative design process in the prior art is solved, and the technical effects that by combining a parameterized optimization mechanism of the BIM technology, the space conflicts are found in time and globally optimized, and the design consistency and reliability are improved are achieved.

The embodiment of the specification provides a rail transit modeling process exception handling method and system based on multi-source data fusion, wherein the method comprises the following steps: collecting basic data of a rail transit line, wherein the basic data comprises but is not limited to line plane trend data, longitudinal section elevation data and track structure parameter data; initializing an initial framework of a single-side model of rail transit in a three-dimensional modeling environment according to the collected basic data, and determining a starting point, a direction and basic dimensions of the model; constructing various features of the single-side model on the initial framework according to design specifications and actual requirements of rail transit, performing refinement processing on the constructed single-side model, and adding materials, textures and detail features; and comparing and verifying the generated single-side model with a single-side condition of an actual rail transit line, and modifying and optimizing the model. Through the establishment of a whole-process dynamic feedback mechanism, the scheme forms a closed-loop control in three aspects of data fusion, model optimization and exception repair, and the accuracy of modeling is improved.