150 results about "Design phase" patented technology

The invention provides a whole-process engineering consultation management design method, which comprises the following steps of: constructing a unified data exchange standard and protocol, converting heterogeneous data output by design tools of different professions and different units into a standardized data format, realizing seamless joint and real-time sharing of data through data middleware, eliminating data barriers, and improving the data exchange efficiency. The collaborative design efficiency is improved; according to the method, digital technologies such as BIM are adopted, a digital twin model of an engineering project is constructed in a design stage, a design scheme is deepened through virtual construction simulation and optimization, factors such as a construction process, construction procedures and resource allocation are fully considered, and the construction feasibility and economic rationality of design are improved; a collaborative mechanism of a design stage and a construction stage is established, experienced construction managers and technicians are invited to participate in design review, improvement suggestions and suggestions are provided from the construction perspective for a design scheme, a designer is helped to comprehensively understand construction requirements, and the design scheme is optimized.

The invention relates to the technical field of project cost management, and discloses a project cost dynamic management method. The method comprises the following steps: marking a timestamp of a data updating node in a historical cost database, extracting a consumption index of each subentry project in a specified interval before and after the timestamp, and constructing a consumption feature set dynamically associated with the cost; inputting the consumption feature set into an optimized neural network, calculating the deviation degree of the same sub-project in the construction stage and the design stage through time sequence comparative analysis, and generating the difference representation of the actual cost and the plan cost; a material price fluctuation coefficient is used as an adjusting variable, a fuzzy comprehensive evaluation model is adopted to carry out multi-dimensional reasoning on the difference representation, and the influence weight value of each cost component on the cost deviation is obtained; key parameters related to the market supply and demand index and the construction progress deviation rate are mined, the key parameters are input into a pre-trained evaluation model, a screening threshold value is dynamically adjusted according to a model output numerical value, and core parameters with influence weight values higher than the adjusted threshold value are screened out.

The invention discloses a BIM-based building full life cycle compliance inspection system and method, and the system can be integrated into each process of a building project, automatically and accurately extracts key data of a plurality of stages, such as design, construction, operation and maintenance, from a BIM model in real time, and forms a complete information chain of the full life cycle of the building project. The system realizes comprehensive coverage of multiple stages of building design, construction, operation and maintenance and the like; in the design stage, the system can assist a designer in compliance review and discover and correct design defects in advance; in the construction stage, the system can monitor the construction progress and quality in real time, and the compliance of the construction process is ensured; in the operation and maintenance stage, the system can continuously monitor the operation state of the building facilities, timely maintenance suggestions and early warning information are provided, and long-term compliance operation of the building project is guaranteed; the comprehensive, efficient and accurate compliance inspection mode provides powerful guarantee for smooth promotion and successful delivery of the construction project.

According to the multi-mode man-machine interaction view and component expression method and system, the design state, the development state and the operation state are integrated, and the problems of scene linkage integration, multi-model association collaborative scheduling and the like of an aerospace equipment MOM system are solved by means of graphical interaction and the like. The method comprises construction of a knowledge graph and demand modeling in a design state, visual design and code generation in a development state, and fault diagnosis in an operation state. Compared with the prior art, knowledge can be deeply mined, codes can be automatically generated, system stability is guaranteed, development efficiency and reliability are improved, and the manufacturing and development requirements of aerospace equipment are met.

The invention discloses a standard component design effectiveness evaluation method. The method comprises the following steps: determining form design parameters, material characteristics and a production process flow according to a standard component design scheme; determining original morphological parameters and material attributes of the original processing material according to the production process flow, and applying the original morphological parameters and the material attributes to the finite element model; the production process flow is simulated through process simulation software, and state parameters of the standard part in the whole machining and forming period are obtained; driving the finite element model to enter processing and forming dynamic performance analysis of the standard component based on the state parameters to obtain multiple performance indexes of the standard component; and evaluating the plurality of performance indexes based on preset performance index requirements to obtain an evaluation result of the design effectiveness of the standard component. By physically simulating the production process of the standard component and performing finite element analysis on the whole cycle of the production process, the effectiveness of the design of the standard component is extracted and evaluated, and a designer can conveniently optimize the standard component in the design stage.

The invention discloses a data operation coding platform throughout the full life cycle of rail transit engineering, which is used in the technical field of constructional engineering and comprises a design module used for selecting and managing design-level components in a design stage and inputting coding information related to design; the construction module is used for selecting and managing construction-level components in the construction stage and inputting coding information related to construction; the operation module is used for selecting and managing maintenance-level components in an operation stage and inputting code information related to maintenance; the operation module is used for operating the coding information input in the design module, the construction module and the operation module to generate a coding system; and the transmission module is used for transmitting related data among the design, construction and operation stages. According to the invention, each component is coded and calculated, so that the data can be freely combined and transmitted, and the identification degree, standardization, automation and sharing of the data are greatly improved.

The invention discloses a multi-dimensional digital design method and device for urban rail transit engineering, and the method comprises the steps: constructing a multi-dimensional digital design system, and the dimensions of the multi-dimensional digital design system comprise a time dimension, a personnel dimension, a quality dimension and an intelligent operator; the network architecture of the collaborative design platform comprises a basic support layer, a core data layer, an application support layer, an application layer and an interactive service layer; performing BIM collaborative design according to the collaborative design platform, wherein the BIM collaborative design comprises a work set center file collaborative mode and a link mode; and information data is added in the BIM model, the information data comprises geometric information and attribute information of a specified model component, and the BIM model conforms to intelligent construction full-life-cycle application. According to the method, the coordination of urban rail transit engineering designers is realized, the design data can be transmitted losslessly and quickly, and the generated model data also meets the requirements of intelligent construction on the design stage.

The invention discloses a micro-architecture design space exploration method based on deep learning. The method comprises the following steps: acquiring micro-architecture parameters of a target processor, forming a design space, acquiring performance indexes of different design points in the design space, and dividing key modules based on the design points; creating a directed acyclic sub-graph according to the key module, and constructing a prediction model by using a graph attention network to obtain a parameter optimal solution meeting a design target in the directed acyclic sub-graph; splicing the directed acyclic sub-graphs into a global graph to obtain interconnection parameters of key modules, introducing federal learning to train a global prediction model, and predicting performance data of an optimal solution of the evaluation parameters based on the global graph; and when a performance evaluation result meets a preset performance standard, outputting a target configuration parameter of the target processor under each configuration dimension. According to the method, the micro-architecture design space is explored in the graph embedding space, decision support is provided for chip design, and the design efficiency and flexibility are improved by adopting the thought that different design stages and design modes are coordinated.

Examples provide a system and method for dynamically improving and validating automation plans using generative artificial intelligence (AI). An automation manager analyzes automation plans during the design phase and the testing phase. The automation plan makes suggestions for improving the automation plan in real time using natural language prompts. The automation plan validates the automation plan against guardrails defining restrictions on the actions performed by the system during automation plan execution. The system generates explainability data describing the next planned actions and reasons why each planned action is selected for execution during the automation to increase user confidence in the automation. The system requests user approval prior to performing each action for more accurate and efficient workflow automation while reducing system resource usage consumed during execution of inefficient or ineffective automation plans.

The invention discloses a design and simulation integration method based on SysML (System Markup Language) and Modelica. According to the method, the existing Modelica is changed into a calculation component of SysML, and complex verification calculation can be carried out in a design stage by virtue of the strong calculation simulation capability of the Modelica model. An existing Modelica model is directly converted into a Block object of the SysML for modeling, and mixed modeling of the SysML and Modelica is achieved. The method does not need to use a Modelica modeling tool to modify a model after the Modelica simulation model is generated in the SysML, and achieves the integration of design and simulation in the aspect of visual modeling. A SysML model is converted into a Modelica model, so that consistent transmission from design to simulation knowledge is realized.

The invention discloses a layered optimization design method for a dual three-phase permanent magnet synchronous motor, and the method comprises the steps: firstly building a motor agent model according to a motor optimization target, and carrying out the optimization of a motor body through a multi-target optimization algorithm, so as to obtain a Pareto leading edge of a motor parameter; then, Kp and Ki parameter setting is carried out on a motor model in the Pareto frontier, so that the dynamic performance of the motor is optimized; and finally, determining an optimal solution containing dynamic performance and a motor body optimization target by combining a table look-up method with a multi-target optimization algorithm. According to the method, through joint optimization of the motor body and the control system, the dynamic performance of the motor and the body optimization target can be considered in the design stage, the overall robustness and the performance consistency of the motor are improved, and it is ensured that the performance of a machining prototype is kept consistent with a simulation result.

The invention discloses a device with fault diagnosis and positioning functions, a design method, a medium and equipment, and the design method comprises the steps: determining a function which needs to be realized by the device, and designing a function module; determining a fault diagnosis and positioning scheme for functional modules and selected devices of the device, and designing a fault diagnosis and positioning mechanism; designing a security assurance module; and packaging the device into a finished product. And carrying out white-box test, function test, acceleration test and type test test on the finished product of the device, feeding back the test result of each test under the condition that all the tests are not passed, and optimizing the next round of iteration until all the tests are passed. According to the method, the PFMEA analysis in the production process is introduced, the traditional method that fault diagnosis is only based on DFMEA analysis in the design stage is broken, the offering of the safety red line of the rail transit product is practiced, the safety of equipment is ensured, and the method has great practicability.

The invention discloses a multi-level system interface design and management method based on a SysML language, and the interface design method comprises the steps: 1, in a conceptual design stage, designing a use scene of system operation by adopting the SysML language, and defining an external interface of a system based on an interaction behavior of the system and an external environment in the use scene; step 2, in the logic design stage, defining components in the system, logic interfaces among the components and interface transmission from an external interface of the system to the components by adopting an SysML language; and step 3, in a physical design stage, defining physical interfaces among the components in the equipment layer to express a physical implementation mode of logic interfaces among the equipment. According to the technical scheme, the problems that in traditional system engineering, in a document-based interface definition mode, due to the fact that the consistency of the interfaces can only be guaranteed through manpower, design errors are introduced, and due to an interface management mode, due to the fact that a corresponding N2 graph needs to be established in each system level, the design errors are caused possibly are solved. And unified management of interfaces is not facilitated, and errors are easily introduced in a transmission process.

The invention discloses a modeling method for each stage of a bridge based on meta-components. The method comprises the following steps: constructing a bridge full-life-cycle digital representation description rule based on the meta-components; developing a meta-component model in a construction drawing design stage; performing simplification and recombination on the basis of the meta-component model of the construction drawing design stage, and generating models of a preliminary design stage and a planning stage; carrying out refined expansion on the basis of the meta-component model of the construction drawing design stage, and generating models of a construction stage and an operation stage; and establishing a full-cycle model management system. According to the modeling method for each stage of the bridge based on the meta-components, the full-life-cycle digital representation description rule is constructed, the meta-component models in the construction drawing design stage are developed, effective conversion of models in different stages is achieved, and a full-cycle model management system is established; the problems of low efficiency and the like caused by incomplete information transmission and repeated model creation in the prior art are solved.

The invention relates to the technical field of steel structure bridges, in particular to a forward BIM (Building Information Modeling) design method for a welding seam of a steel structure bridge component, which comprises the following steps of: 1, establishing a BIM model: establishing a three-dimensional model of the steel structure bridge by using BIM software, defining the geometrical shape, the material attribute and the connection mode of each component in detail in the model; 2, defining the type and the position of a welding seam: determining the type and the position of the welding seam according to design specifications and engineering experience; a BIM (Building Information Model) provides a three-dimensional visual model, so that a designer can intuitively check and understand the position, shape and size of the welding seam. The visualization helps to find potential problems in the design stage and reduce errors and rework, the forward BIM design method can accurately define the geometric shape and position of the weld seam and ensure the accuracy and consistency of the design, and the accuracy helps to improve the efficiency and quality of manufacturing and installation.

The invention provides an assembly interference analysis method based on CATIA (computer-graphics aided three-dimensional interactive application). Comprising the steps that simulation resources are prepared, and technical state confirmation and lightweight format conversion are conducted on products, assembly parts and tool models; assembling path planning: planning a collision-free motion path from a starting point to an end point for the to-be-assembled part in the virtual environment; static interference inspection: detecting space overlap among all components of the assembly body in a non-motion state; dynamic interference detection: static interference detection is carried out on a part movement envelope and an external part, and the interference condition in the movement process is judged; and interference analysis output: outputting an analysis result in a visual highlight, data report and image / video form. Through systematized static and dynamic interference check processes, the problem of assembly interference of products in the design stage is effectively solved, and the design quality and the assembly efficiency are greatly improved. The method is suitable for being applied as a CATIA-based assembly interference analysis method.

The invention discloses an intelligent analysis method for an assembly preset value of an oversized truss structure, and belongs to the technical field of intelligent calculation of building structures, and the method comprises the following steps: building a design stage basic model, and extracting key data of the design stage basic model; classifying and calibrating node information and unit information in the key data of the basic model in the design stage; connecting node information and connecting unit information of a hoisting stage, a chord member connecting stage, a hook loosening stage and a support position diagonal web member connecting stage in the construction stage are set, and a basic model of the construction stage is established; key data of the construction stage basic model are extracted from the information data of the construction stage basic model, other data are integrated, and all information data of the construction stage basic model are generated; calculating and analyzing all information data of the basic model in the construction stage to obtain a calculation result; and extracting node deformation data of the construction stage basic model used for calculating the splicing preset value, and calculating to obtain the splicing preset value.

A method for enabling collaboration between individuals to design, construct and maintain a building. The method comprises providing a network based computer system including at least one server and multiple clients. The multiple clients allow respective individuals to interact with the server. The server includes a machine-readable storage, which is encoded with software for execution by a CPU for allowing individuals at the respective clients to create, execute and manage projects associated with at least one of a design phase, construction phase and maintenance phase of the building. Each project comprises one or more events that are related to time. The method also comprises storing in the machine-readable storage events as they occur during execution of each project to create a building project database spanning at least the design phase and the construction phase and optionally the maintenance phase of the building.

The invention relates to the technical field of fan foundation design, and particularly provides a steel tower drum fan foundation design method based on machine learning, which comprises the following steps: selecting an input variable and an output parameter, and establishing a data set containing the input variable and the output parameter; screening of the machine learning model: delimiting a training set, and performing hyper-parameter optimization of the machine learning model; based on the prediction effect of each group of models in the test set, obtaining the predicted average statistic estimated value and variance of each group of models on the input variable, and establishing a comparison matrix of each group of models; screening out a GBDT algorithm model as an optimal machine learning model based on the weight coefficient and the normalization coefficient obtained by the comparison matrix; and the optimized GBDT algorithm model is improved, and the complete engineering quantity of the high-precision fan foundation is obtained. According to the method, rapid and accurate prediction of the wind turbine foundation engineering quantity is realized, and the method can be applied to rapid estimation of a bidding stage and engineering quantity checking of a design stage, so that a design scheme is optimized, and engineering time and cost are saved.

The invention provides a zero-carbon building multi-objective optimization method. The zero-carbon building multi-objective optimization method comprises the steps of obtaining a researched building and a plurality of design parameters corresponding to the researched building; the design parameters, matched with the physical characteristics of the researched building, in the multiple design parameters are defined as physical design parameters, and the design parameters except the physical design parameters are defined as technical design parameters; according to the shape design parameters, obtaining a shape design optimal solution of the researched building; and setting a plurality of technical design stage optimization objectives, and obtaining a zero-carbon building multi-objective optimization optimal solution of the researched building according to the shape design optimal solution and the technical design parameters. According to the method, a zero-carbon building design stage is divided into a body design stage and a technical design stage, and an optimal zero-carbon building body design and technical design scheme is obtained based on a multi-objective optimization module.

The invention provides a thermal resistance model construction method of an LDMOS (Laterally Diffused Metal Oxide Semiconductor) device, which is characterized in that a plurality of N-type doped isolation layers are formed on a substrate, an LDMOS structure is formed on each N-type doped isolation layer, all LDMOS structures are divided into different test groups according to different key sizes, and the key sizes at least comprise a total channel width and a cross index; measuring the thermal resistance of the LDMOS structure in each test group so as to respectively extract a thermal resistance value array of each group, and performing data fitting on the thermal resistance value array of each group so as to obtain a thermal resistance model of the relationship between the thermal resistance value of the LDMOS structure and the critical dimension; according to the method, the thermal resistance model of the full-size LDMOS device can be constructed by only utilizing a limited number of LDMOS structures in a primary tape, so that the thermal resistance of the LDMOS devices with different sizes can be predicted, the self-heating effect of the device can be accurately evaluated in the design stage, the device design is optimized, the development cost of the device is reduced, and the research and development period is shortened.

The invention discloses a multi-field fusion digital prototype development system and a digital prototype construction method thereof, and belongs to the technical field of digital prototypes. According to the method, by introducing the FACE architecture, professional models in other fields are subjected to virtual modeling again, and multi-scale and multi-dimensional models are unified, so that the professional models in different subject fields can be integrated comprehensively, and a complete digital prototype model is obtained. Meanwhile, after virtualization modeling, the model can be decoupled from the operation platform, and multiplexing of the model on different operation platforms is realized, so that the model can seamlessly run through a system design stage and a system implementation stage, repeated development and test of the model are avoided, and research and development efficiency of a spacecraft system can be further improved.

The invention discloses a large-space air duct prefabrication modular rapid assembly construction method, and particularly relates to the technical field of building engineering construction, the method comprises the following steps: S1, digital design and modular planning; s2, factory intelligent prefabrication production is carried out; s3, on-site accurate measurement and positioning; s4, standardized installation of the support hanger; and S5, quickly assembling the air duct module. According to the method, static design is upgraded into dynamic adjustable intelligent planning through a closed loop of BIM, 4D construction simulation and self-adaptive adjustment, collision is avoided in the design stage, field change can be actively adapted in the construction stage, the first-pass yield of construction is greatly improved, rework caused by design change and field errors is reduced, and the construction efficiency is improved. The air duct module is accurately, stably and efficiently hoisted, so that the high-altitude manual assembly workload is reduced, the overturning risk in the hoisting process is completely eradicated, and the safety and the hoisting efficiency are both improved.

The application relates to the technical field of ship design, in particular to a ship design method based on ship type flexible customization and a storage medium. A flexible customization design tool set visual push design system platform based on a knowledge graph can automatically match corresponding design modules according to design content in the process of ship digital design by a designer, and can push design tools corresponding to the modules according to design stages, design specialties, operator information and the like. The designer only needs to select corresponding module design objects in the design process, and the module design tool set can be automatically pushed out. After the corresponding design tools are selected, knowledge rules matched with the current design tools and design environment are automatically reasoned and called based on the constructed knowledge graph, and intelligent design based on knowledge driving is realized through the design tools, so that the problem of poor use and configuration flexibility of different professional and different functional design function modules and design tools of a traditional ship three-dimensional design software platform is solved.

The invention relates to the technical field of building construction, in particular to an AI-based BIM (Building Information Modeling) and design budget integration method, which comprises the following steps of: firstly, constructing a high-precision enhanced BIM by fusing laser scanning point cloud, texture data and IoT (Internet of Things) environment data with a BIM original model; then, the trained multi-task deep learning model is utilized to automatically identify defects such as equipment missing, redundancy and geometric distortion in the enhanced BIM model, and a mapping relation between components and cost items is synchronously constructed; and then, calling a predefined strategy or a generative AI to repair the model according to the defect information, and updating a bill of quantity and a budget report in real time in a linkage manner. And finally, through difference degree evaluation and reinforcement learning driven closed-loop optimization, a compliant repair scheme with the lowest cost is automatically selected. According to the method, full-process automation and optimization from defect identification and intelligent repair to cost synchronization are realized, and the model quality and the cost control precision in the design stage are remarkably improved.

The present invention provides a method, system, medium and computer for compiling electric power construction costs based on a three-dimensional model. The method includes: obtaining the three-dimensional model provided in the design stage of cost compilation and mapping the three-dimensional model to a standard bill of materials; creating corresponding quota statistical rules, list statistical rules and project division mounting rules in the three-dimensional model according to the quota statistical conditions, list statistical conditions and project division statistical conditions in different stages of cost compilation; processing the cost documents in different stages according to the quota statistical rules, list statistical rules and project division mounting rules, and outputting the corresponding cost results. According to the three-dimensional model provided in the design stage, the present invention completes the parsing work of the three-dimensional model through component parsing rules and attribute parsing rules, and completes the output of cost results in different stages through the rules for applying quotas and lists in different stages and the statistical rules for engineering quantities, achieving the output of cost results in multiple stages with the same model.

This invention discloses a construction project cost feedback system and method based on quantity analysis; it includes a drawing acquisition module for acquiring multiple versions of drawing data generated at different design stages of a construction project; and a quantity analysis engine connected to the drawing acquisition module for automatically extracting quantity data from any version of drawing data based on preset building component identification rules in response to the import of such data; the quantity data includes at least the amount of building materials used and the corresponding construction quantities; by directly connecting the quantity analysis engine to the drawing acquisition module, this invention achieves automatic quantity calculation upon import of design drawings, and simultaneous pricing by the cost calculation engine, enabling designers to obtain the corresponding project cost amount while completing the design of any version of drawings, transforming the traditional serial process of "design-delivery-quantity calculation-feedback" into a parallel process of "design-quantity calculation-feedback", significantly shortening the design iteration cycle.

This invention provides a method and system for implementing a simulation interaction process between a PLC and an MES in the MES field. The method includes: S1: defining trigger signals and writing a business scenario signal interaction flowchart; S2: writing trigger signal scripts to implement business processing feedback logic; S3: configuring a signal generator; S4: configuring multiple workstations and specifying the line-start workstation as the entry point for the program; S5: importing the trigger script and generator configuration into the main program and starting the program; S6: debugging and verifying the PLC or MES program through process-driven execution, completing the debugging from a single workstation to the entire line of workstations. This invention achieves MES and PLC interaction process simulation through signal-triggered simulation. Whether it's the MES or PLC, process simulation is implemented during the development and design phase, correcting obvious errors in the design phase, advancing the debugging process, shortening the implementation cycle, and reducing economic costs.

The present application relates to a method for pre-judgment of a mesh demoulding force. Based on the use of an existing demoulding force calculation formula, a finite element analysis model is used to simulate and calculate the demoulding angle of each mesh (each element), and then the demoulding force of each element is calculated. The calculated demoulding angle is used to determine whether the element belongs to the upper mold or the lower mold. The demoulding forces of the elements of the upper and lower molds are added together to obtain a demoulding force obtained according to the finite element model. This method is convenient for predicting whether there is a demoulding problem in the actual demoulding process during the design process. For example, when the workpiece is demoulded, it does not move with the upper mold and remains in the lower mold. In this way, this problem can be avoided in the design stage.

The invention discloses a method and system for verifying an RISC-V processor and a computer readable storage medium. The method comprises the following steps: analyzing an RISC-V official manual and a micro-architecture user manual, and generating a static instruction-resource mapping table; and generating a first test instruction sequence for each instruction in the static instruction-resource mapping table, executing the first test instruction sequence by using an RISC-V processor simulation model constructed by a software simulator, and dynamically calibrating the static instruction-resource mapping table in the execution process. And traversing the instruction and resource mapping relationship in the calibrated static instruction-resource mapping table, analyzing RISC-V processor verification logic, and if a conflict is found, outputting a conflict report so as to complete defect repair before RTL code writing. According to the application, hardware behaviors can be accurately associated, the problem of disjunction of semantics and micro-architecture is solved, and conflict prediction in an architecture design stage and end-to-end automatic verification from instruction semantics to micro-architecture behaviors are realized.