104 results about "Design phase" patented technology

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.

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.

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 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 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 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 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 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.

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 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.

The invention belongs to the technical field of spiking neural networks. The invention provides a construction method of a reversible pulse neural network supporting parallel computing. According to the embodiment of the invention, the reversible calculation structure is introduced, the neuron state of an intermediate layer does not need to be explicitly stored in the forward propagation process of the network, and the reconstruction of the activation value can be realized through the reversible mapping relation in the backward propagation stage. In the design stage of the reversible structure, hardware mapping characteristics are fully considered, and forward calculation and reverse reconstruction processes of reversible mapping are simultaneously incorporated into a parallel execution framework of a configurable calculation array. Through collaborative design of a data path and control logic, forward propagation and reverse reversible reconstruction can be efficiently and parallelly operated in the same array, and inter-stage calculation idle time and data waiting time are remarkably shortened. On the premise of ensuring reversibility, streamlined and parallel execution of forward and reverse calculation is realized, and the throughput rate and the training speed of the system are integrally improved.

The invention belongs to the technical field of building industrialization and computer aided design, and discloses an assembly type component model generation method and system.The method comprises the steps that basic design data and construction deviation historical data of target assembly type building engineering are obtained, and an initial design data set and a standardized construction deviation historical data set are generated respectively; establishing a construction deviation distribution characteristic parameter set based on the construction deviation distribution characteristic parameter set, wherein the parameters are associated with component types, spatial position ranges and connection forms; determining a target component set and an assembly path relation, and matching corresponding construction deviation distribution characteristic parameters for each component; and taking the basic design data and the matching parameters as generation constraint parameters, inputting the generation constraint parameters into a component generation sub-module based on an encoder-decoder architecture, and generating a fabricated component model. Deviation adaptation logic is integrated in the design stage, the construction rework probability can be reduced, the structural stability and component universality are improved, and the method is suitable for multi-layer or high-rise fabricated concrete structure buildings.

This invention discloses a deep learning-based product structure parameterized design optimization method and system, relating to the field of computer-aided design technology. The key technical solutions include the following steps: collecting multi-source heterogeneous data on product structure design, including parameter design documents, simulation data, process execution records, and failure case reports; generating a parameter full-process influence correlation map based on the multi-source heterogeneous data; performing feature judgment on the parameter full-process influence correlation map to obtain a set of key constraint parameters; and generating an optimization target system based on the priority ranking and interactive constraint relationships of the key constraint parameter set. This optimization target system includes structural parameter targets in the design phase, structural manufacturing targets in the process phase, and structural stability targets in the usage phase. The effect is to avoid the problems of insufficient production adaptability and poor usage stability caused by focusing only on a single stage target, improving the parameter coordination throughout the product lifecycle, and shortening the product development iteration cycle.

This invention discloses a high-precision fatigue analysis method for spring arms, comprising the following steps: S1: Preprocessing the model using mesh preprocessing software and calculating the stress distribution of the part under fatigue conditions using finite element analysis; S2: Analyzing the fatigue life using fatigue analysis software; S3: Comparing the fatigue results obtained through experiments with the analyzed values. The method closely approximates actual experiments in simulating the constraints and loads on the spring arm's motion, resulting in better convergence of the force analysis. It addresses the accuracy issues caused by the complex forces at the spring points of the spring arm, and the analysis results show high consistency with actual experimental verification. This allows for early risk identification in the design phase, improving development efficiency and reducing development costs. It features high versatility and accurate calculation results.

A technology is provided that can predict the environmental load of a manufacturing process based on the influencing factors of the manufacturing process at the design stage. [Solution] The environmental load prediction device of the present invention stores a prediction formula configured to calculate the environmental load using parameters that represent the characteristics of parts processed in the manufacturing process, and predicts (simulates) the environmental load of the manufacturing process by reading the parameters from process data that describes the design values ​​of the parameters and substituting them into the prediction formula.

The invention relates to a noise evaluation method, device and equipment of a compressor, a medium and a program product. The method comprises the steps that a multi-body dynamics simulation model corresponding to the compressor is established based on geometric structure parameters of all parts in the compressor and the motion relation between all the parts; the multi-body dynamics simulation model comprises a plurality of body units and kinematic pairs among the body units; on the basis of the multi-body dynamics simulation model and corresponding preset driving of the compressor under the preset working condition, dynamic response of the compressor is predicted, and a prediction result is obtained; and based on the prediction result, the knocking noise risk of the compressor is evaluated, and an evaluation result is obtained. Thus, the actual running state of the compressor can be effectively simulated, the potential knocking problem can be recognized in advance, the knocking abnormal sound problem of the compressor product can be effectively found or predicted without depending on test and error, and the risk prediction capacity and optimization efficiency in the design stage are improved.

The present invention provides a design verification method for a vehicle's swing value, comprising the following steps: step S1, obtaining vehicle design data; step S2, using the design data to establish a vehicle model in drawing software; step S3, using the vehicle model to measure the vehicle's swing value; step S4, determining whether the swing value meets the requirements, and if so, terminating the verification; if not, redesigning the design data until the swing value meets the requirements. The present invention can establish a vehicle model in drawing software based on the vehicle's design data, simulate the vehicle's actual turning state, and measure the vehicle's swing value, thereby obtaining the vehicle's swing value during the vehicle design phase, thereby improving measurement efficiency and reducing the manpower, material resources, time, and development costs required to redesign the vehicle when the swing value does not meet the requirements.

This application relates to the field of electronic circuit design technology, and in particular to a PCB layout optimization method suitable for signal transmission. This method acquires manufacturer-specific process capability parameters, constructs a manufacturing disturbance model including conductor geometric deviations, dielectric non-uniformity, and interlayer alignment errors, and embeds an electromagnetic simulation engine to form a dynamic signal integrity analysis model. Based on this, an adaptive layout constraint rule set is generated, driving the layout and routing algorithm to perform manufacturing robustness-oriented automatic routing. This solves the problem of signal integrity degradation in high-speed signal links on PCBs due to manufacturing fluctuations, pre-compensating for manufacturing-introduced non-ideals during the design phase, and improving the first-pass success rate and signal performance consistency of high-speed PCBs.

The invention relates to the technical field of computer-aided engineering and material science, and discloses a pavement construction material ratio intelligent calculation and scheme generation system, which comprises the following steps of: firstly, constructing a response manifold model under multi-scale constraint; accurately representing a nonlinear mapping relation among a material ratio parameter, a working condition disturbance parameter and a macroscopic performance index; an active learning and model iteration module is utilized to iteratively optimize the model in a mode of minimizing the number of physical tests; then, a ratio scheme reverse generation module reversely solves a robust reference ratio scheme which meets performance constraints and is insensitive to working condition disturbance based on the model; and finally, in the construction stage and the construction process, a self-adaptive correction module obtains field working condition disturbance data in real time, the model is used for calculating the proportion adjustment amount, and dynamic correction of the production process is achieved. According to the method, the efficiency and the quality of proportioning design are remarkably improved, the robustness of a proportioning scheme is ensured, and closed-loop control of a design stage and a production stage is realized.

This invention provides a fault prediction method, apparatus, electronic device, and storage medium. The method includes: performing fault prediction based on component attribute data of the product under test (BUT) during the design phase; applying a fault hierarchy model to infer the root cause of faults based on the predicted fault probability distribution; and obtaining the fault propagation path corresponding to the fault modes involved in the BUT. The fault hierarchy model is configured with a multi-layer topology from the product component level to the product whole-machine level, and the transmission relationship of faults in the multi-layer topology from the product component level to the product whole-machine level. This not only realizes the leap from qualitative experience analysis to quantitative data prediction, but also transforms isolated component risks into visualized fault propagation paths. This allows designers to clearly see the specific impact chain of underlying design defects on the reliability of the whole machine, thereby enabling targeted optimization before product manufacturing and greatly improving R&D efficiency and the final quality of the product.

The invention relates to a reliability analysis method for a missile wing unfolding mechanism, and belongs to the field of design and reliability analysis of missile structures. Comprising the following steps: step 1, establishing a main failure mode of the missile wing unfolding mechanism according to a failure condition and a failure mechanism of the missile wing unfolding mechanism; and 2, determining the distribution type and distribution parameters of the input variables, and establishing a reliability analysis model of the missile wing unfolding mechanism. And 3, solving the proxy model of the missile wing unfolding mechanism by adopting a self-adaptive Kriging method. 4, reliability analysis is conducted on the missile wing unfolding mechanism through the agent model and the Monte Carlo method. The method provided by the invention has strong operability, can control the uncertainty factors causing the reliability problem in the design link, and has a good application prospect.

The application relates to the technical field of construction design, and discloses a building construction scheme design method and device based on BIM technology. A design BIM submodel and a construction BIM submodel are fused to form an integrated BIM model, and a many-to-many mapping relationship between design components, construction processes and construction resources is established; four-dimensional dynamic simulation is carried out based on the model, design components and processes and resources are associated according to the mapping relationship, and conflict detection of static space, dynamic space-time and process logic is carried out; the detection results are quantitatively evaluated, design and construction joint adjustment strategies are automatically generated when the evaluation results are lower than a threshold value, a collaborative feasibility matrix is constructed through dependent detection and Monte Carlo simulation, and the optimal strategy is searched through multi-objective optimization; the model and the mapping relationship are updated according to the strategy, and iteration is carried out until the evaluation meets the requirements, and the optimized design and construction scheme is output. The application can realize the integration of construction requirements in the design stage and bidirectional closed-loop dynamic collaboration, and reduce engineering changes and rework.

The invention discloses a flexible cable path layout geometric model construction method and device, and the method comprises the steps: carrying out the smooth optimization of an initial FPC path center line composed of discrete three-dimensional points through a non-uniform rational B spline (NURBS) curve fitting technology, and generating a high-quality path curve with Ccontinuity; then, constructing a Frenet frame which continuously changes along the optimized path, and introducing a torsion control mechanism of 180-degree rotation of the model, so as to fundamentally solve the problems of sudden change in the section direction and model distortion in the sweeping process; and finally, based on the rectangular section contour, generating an entity CAD model meeting Gcontinuity by adopting a self-adaptive sampling scanning algorithm. By the adoption of the technical scheme, the geometric quality and engineering feasibility of the FPC cable in the design stage are remarkably improved.

The application relates to the technical field of computer-aided design. A power engineering design scheme optimization method is disclosed, which comprises the following steps: receiving a power engineering design scheme, establishing an engineering structure three-dimensional model according to component geometric parameters, spatial positions and connection relationships; constructing a construction deviation model corresponding to an engineering construction process, introducing the construction deviation model into the engineering structure three-dimensional model to simulate the construction process, and obtaining state change information of each structure node in the construction process; identifying the propagation of the construction deviation in the engineering structure and the construction risk caused by the construction deviation according to the state change information; generating a candidate design adjustment scheme based on the construction deviation propagation and the construction risk, and obtaining an optimized design scheme through simulation screening and outputting corresponding modification prompts. The application can identify the construction deviation propagation and risk evolution in the design stage, and automatically generate an optimized design scheme, so as to improve the constructability and safety of the power engineering design scheme.

This invention discloses a method and system for batch conversion of bulb flat steel interfaces into angle steel or T-sections. It utilizes the LISP programming language and dynamic block technology in AutoCAD software, and involves secondary development of functional modules capable of automatically identifying bulb flat steel and batch replacing it with angle steel or T-sections during the ship design phase. Different specifications and patch forms of profile interfaces are drawn on a computer and integrated into dynamic blocks for angle steel, T-sections, and bulb flat steel using dynamic block technology. The system automatically identifies various forms of bulb flat steel in the original drawings according to set rules, calculates the base point, web angle, and bulb head orientation of each bulb flat steel, and batch replaces them with dynamic blocks of the same attributes. A dynamic block modification interface is developed to quickly modify profile specifications and patch forms. This invention enables automatic identification and batch replacement of bulb flat steel with angle steel or T-sections during the ship design phase using a computer, reducing the amount of repetitive manual drawing work for designers and laying the foundation for subsequent rapid modification of aggregate types.

The invention discloses a method for detecting interference between film hole pairs in a turbine blade film hole design stage, and the method comprises the steps: a pre-calculation stage: calculating and storing geometric parameters of all film holes, and calculating and storing a bounding box of each film hole; dividing a spatial index grid, calculating a global bounding box, and mapping all air film holes into the spatial grid; the air film hole space grids are detected in parallel, and adjacent air film holes of all the query holes are collected; rough detection is firstly carried out between the air film holes and the adjacent air film holes, and the air film holes which are completely not intersected are rapidly eliminated; and carrying out fine detection on the hole pairs subjected to rough detection, and judging the hole intersection state by calculating the axial distance and the projection length. According to the invention, automatic interference detection of a film hole arrangement scheme is realized, complex interference conditions such as parallel axes, different planes and non-parallel intersection can be effectively identified, and the problems of errors and low efficiency of traditional manual detection are avoided.

The application discloses a kind of based on RFLP's warship power steam system digital configuration design method, belong to warship power steam system design technical field, including system requirement analysis, system function analysis, logic architecture generation, logic to physical architecture mapping 4 design stages.Based on the design mode of RFLP, the basic idea is to replace document with digital modeling into system scheme design, the vocabulary, parameter of system structure, function, performance, specification and requirement described in design document are all expressed with digital model.Taking model as center, then create or generate other artifacts from it, including automatically generating document, report, chart and table.This method enhances traceability and consistency, improves design efficiency.