469 results about "Collaborative design" patented technology

The invention relates to the technical field of CAD drawing optimization, and discloses a CAD drawing optimization method based on parameterized design. The method comprises the steps that a design constraint condition set is received, and geometric constraint parameters and engineering constraint parameters in the design constraint condition set are extracted; generating an initial geometric topological structure according to the geometric constraint parameters, and performing parameterized mapping on the structure in combination with the engineering constraint parameters to form a parameterized geometric model; identifying key feature nodes in the model, dynamically associating the key feature nodes with engineering constraint parameters, and constructing a parameter-driven relation network; and iteratively optimizing the parameterized geometric model through the network to generate an optimized geometric model meeting a design constraint condition set. According to the method, close association of geometry and engineering constraints is achieved, repeated design modification is reduced, efficiency and accuracy are improved, the design standardization degree can be improved, collaborative design is facilitated, and the method is suitable for CAD drawing design of complex products.

The invention discloses a post-pumping air tank robustness collaborative design method considering hydraulic parameter time-varying characteristics, which comprises the following steps: defining a hydraulic parameter uncertainty fluctuation interval of a water delivery system in a full life cycle, and setting a body structure decision variable range of a post-pumping air tank; performing combined sampling in the water conservancy parameter uncertainty fluctuation interval and the body structure decision variable range by using a test design method to generate an initial sample set; performing steady-state and transient-state coupling simulation on the initial sample set, constructing a constant-flow operation condition of the water delivery system by using a hydraulic equation, updating a water pump working point and pipeline pressure distribution, performing transient simulation by using a characteristic line method to obtain a hydraulic response index, and training to obtain a water hammer response agent model; constructing a robustness optimization objective function based on failure probability constraint; and performing global optimization on the target function by using an intelligent optimization algorithm, calling the water hammer response agent model to perform random simulation, evaluating a failure probability, and outputting a target design scheme.

The invention discloses a compostable and reslurrable mineral-based dual-scale barrier coating as well as preparation and application thereof, and belongs to the technical field of water-based and reslurrable barrier materials. In order to overcome the defects of high coating weight, large color difference or difficulty in recovery in the prior art, a compact barrier is constructed through double-scale collaborative design of interlayer intercalation of layered double hydroxides and interparticle metal micro-networks. The method has the prominent advantage that high-efficiency water-oxygen barrier better than that of a conventional scheme can be realized only by using an extremely low coating amount. Meanwhile, the coating strictly controls color difference to maintain high whiteness of the paper, has pH responsiveness, can be quickly unlapped and dispersed under an acidic condition, and is easy to re-pulp. The coating does not contain PFAS and PVDC, and unification of high barrier, high whiteness and recoverability is achieved.

The invention discloses a multi-target constraint force control parameter determination method and a control system for a machine dexterous hand, and the method comprises the steps: obtaining multi-mode state data, determining a current operation stage and an object attribute, constructing a candidate force control parameter set, carrying out the multi-target optimization through employing an NSGA-II algorithm under multiple constraints, obtaining a Pareto optimal solution set, and carrying out the multi-target constraint force control of the machine dexterous hand. And after the target force control parameter group is determined, performing safety projection correction on original control output, and controlling the dexterous hand to execute operation. According to the scheme, through closed-loop collaborative design of stage recognition, parameter optimization, safety correction and online reconstruction, contact safety, grabbing stability, response performance and energy consumption control are considered, the grabbing success rate is increased to 95% or above from 75%, the contact peak force is reduced by 36%, and the control reliability of multi-finger collaborative operation is improved.

The invention discloses a cryptographic algorithm adaptation and hardware encryption and decryption acceleration method suitable for a gateway protocol, deep integration of a cryptographic algorithm is realized through protocol stack-level native transformation, software and hardware collaborative design is adopted, and through innovative mechanisms such as multi-thread concurrent encryption, asynchronous interrupt processing and DMA data interaction, the hardware encryption and decryption acceleration of the cryptographic algorithm is realized. The processing capability in a high throughput scene is improved; an intelligent strategy engine is introduced to realize data packet dynamic classification and encrypted resource optimization scheduling, and the system performance is maximized while the security is ensured; according to the technical scheme, key full-life-cycle management and control are achieved through the HSM, the requirement for equal insurance 2.0 is met, multi-platform deployment is supported by adopting modular design, and compared with the prior art, the method can be flexibly adapted to various application scenes such as various domestic chip architectures, embedded devices, security gateways and industrial controllers, and the method is suitable for large-scale popularization and application. The problems of high platform dependence, difficulty in transplantation and the like existing in national secret IPSec implementation are solved, and a better secure communication solution is provided for a localized environment.

The invention relates to the technical field of building data processing, and discloses a collaborative design method and platform for building engineering three-dimensional modeling based on BIM, and the collaborative design method for building engineering three-dimensional modeling based on BIM comprises the following steps: S101, constructing a cross-professional boundary edge set; step S102, constructing a boundary merging unit; step S103, constructing an overall cost; step S104, generating an initial solution set; step S105, outputting an optimal merging sequence, publishing time and object batch assignment; and step S106, generating a batch merging list and issuing a Gantt plan on the subject side. According to the method, computable indexes such as cross-professional asymmetry degree are constructed, the time deviation degree of cross-professional boundary object parameter updating and connection relation changing is accurately quantified, and a previous decision mode depending on experience is eliminated; therefore, the cross-professional collaboration efficiency is effectively improved, the design period is shortened, the engineering design cost is reduced, and the modeling collaboration quality is guaranteed.

The invention discloses a metadata version control and automatic structure comparison method and system based on incremental snapshot and intelligent decision, and the method comprises the following steps: managing a metadata version through an incremental snapshot model, and enabling the incremental snapshot model to support the complete backtracking of a historical structure through storing changed incremental information and associating with a version chain; carrying out difference analysis on the metadata structure by adopting a hierarchical progressive comparison algorithm; an intelligent DDL decision engine is adopted, and an executable DDL script is generated according to the difference analysis result; in the process of generating the DDL script, metadata consanguinity information is jointly checked so as to carry out change risk assessment. Through collaborative design of all the modules, double benefits of systematic breakthrough and conventional effect enhancement are brought, and the technical effect is directly associated with collaborative design.

The invention relates to the technical field of heat exchangers, in particular to a collaborative design and control method, device and equipment for a heat exchanger and a storage medium, and the method comprises the steps that operation data of a target heat exchanger under at least one working condition are collected, and performance coefficient data meeting preset performance conditions are output through a multi-target collaborative optimization model; after operation is conducted according to the performance coefficient data, the flow value, the pressure value and the temperature value of the target heat exchanger are collected, and a corresponding adjusting instruction is determined; and based on the digital twin body, determining performance attenuation data and / or a fault diagnosis result, further generating an optimization instruction, and controlling the target heat exchanger. Therefore, the problems that in the related technology, under the variable load working condition, when the load deviates from a design point, the heat transfer and efficiency become poor due to fluid flow and flow velocity changes, vibration is caused by uneven flow, the temperature control precision is poor, and physical property changes and temperature pinch points are prone to occurring in a supercritical working medium are solved; the post-adjustment adaptability is poor, the performance is difficult to optimize, the response is slow, and potential safety hazards exist.

The invention discloses a high-strength epoxy-based adhesive and a preparation method thereof, and relates to the technical field of epoxy-based adhesives, the high-strength epoxy-based adhesive comprises the following components: 80-120 parts of epoxy resin; 20-40 parts of a curing agent; 10-35 parts of ethylene propylene diene monomer powder; 5 to 20 parts of toughening resin; 30-80 parts of an inorganic filler; 0.5 to 3 parts of a coupling agent; 0.5 to 2 parts of an auxiliary agent; the preparation is performed based on the formula. According to the invention, the ethylene propylene diene monomer powder is introduced into an epoxy resin system and is matched with the toughening resin, the inorganic filler and the coupling agent for collaborative design, so that the impact resistance and deformation adaptability of a cured adhesive layer are remarkably improved while the adhesive keeps relatively high bonding strength and structural stability; the obtained high-strength epoxy-based adhesive has good mechanical properties, construction performance and engineering adaptability, and is suitable for popularization and application under various complex working conditions.

The invention relates to the technical field of grinding fluid, in particular to wafer polishing fluid containing graphene nanosheets and a preparation process of the wafer polishing fluid. A graphene modified abrasive; an oxidant; a complexing agent; a metal corrosion inhibitor; a pH adjusting agent; a dispersion stabilizer; an interface modifier; a defect repairing agent; a corrosion inhibition synergist; a wettability modifier; an anti-agglomeration agent; and deionized water. Through introduction of the graphene modified abrasive and multi-component collaborative design, the graphene modified abrasive polishing solution has high polishing efficiency, low corrosion rate and excellent dispersion stability, compared with a traditional polishing solution, the Cu / Co corrosion rate is reduced by 60% or above, the copper surface roughness Ra is smaller than or equal to 0.5 nm, polished wafers do not have obvious micro-scratches, and the lubricating property and the mechanical grinding property of graphene nanosheets are coordinated, so that the mechanical polishing effect is good. The copper / cobalt removal rate ratio is stabilized at 1: 1 + / -0.1, and the defects of dished pits and corrosion pits are effectively avoided.

The invention, which belongs to the technical field of data processing, relates to an intelligent convenient gravel aggregate transaction system comprising a user interaction layer used for receiving a user instruction and displaying information; the cloud intelligent central layer is in communication connection with the user interaction layer and is used for performing intelligent calculation, data collaboration and safety control; and the full-link system docking layer is in communication connection with the cloud intelligent center layer and is used for realizing data intercommunication with an external service system. Through technology fusion of AI, the block chain and the Internet of Things and whole-process collaborative design, information islands are eliminated, automatic closed loop of the whole transaction process and whole quality traceability are guaranteed, and the transaction risk is reduced.

The embodiment of the invention relates to the field of power systems, and provides a collaborative design scheme generation method and device for submarine cable lightning overvoltage suppression and insulation cooperation based on a particle swarm optimization algorithm, computer equipment and a storage medium, and the method comprises the steps: carrying out the initial configuration of optimization basic data of a to-be-simulated experiment, constructing to obtain a simulation environment after initialization configuration; based on the simulation environment after initialization configuration, parallel electromagnetic transient program simulation is carried out so as to construct a bidirectional coupling framework simulation model of submarine cable lightning overvoltage suppression and insulation cooperation; and based on an improved hybrid particle swarm optimization algorithm, solving the bidirectional coupling framework simulation model to generate a collaborative design scheme corresponding to the submarine cable lightning overvoltage suppression and insulation cooperation process. By adopting the method, the overvoltage level of the submarine cable system and the technical implementation effect of insulation cooperation can be improved, and the safety of the system is improved.

The invention relates to the technical field of artificial intelligence and intelligent manufacturing, and discloses a multi-source heterogeneous data and large language driven process intelligent design system and method, and the system comprises a multi-modal data processing module which is used for achieving the structural information extraction of multi-source heterogeneous engineering data; the multi-source heterogeneous mixed database construction module is used for realizing storage of multi-source process knowledge and joint query of a database; the large model construction and optimization module is used for constructing a large model to realize user intention understanding, process knowledge fusion and process scheme generation and optimization; the intelligent processing technology collaborative design system provides a multi-mode interaction interface for a user to realize full-process automatic technology design from demand input to scheme output; according to the system and the method, the full-process intelligence from part information extraction, process knowledge retrieval, process scheme generation to simulation verification optimization is realized, and the system and the method can be widely applied to machining process design and optimization scenes in the fields of industrial mother machines, robots, high-end equipment manufacturing and the like.

The invention provides a neural network multi-objective optimization and FPGA hardware acceleration collaborative design method, and belongs to the field of deep learning model compression and hardware collaborative design. The method comprises the following steps: constructing a joint optimization space containing a neural network compression parameter and an FPGA hardware design parameter; a multi-target Bayesian optimization search strategy is adopted, iterative search is carried out in the joint optimization space, model precision, FPGA resource occupation and reasoning delay are synchronously optimized, and optimal candidate configuration is obtained; matching the compressed network structure with the FPGA parallel architecture by using a hardware-perceived pruning and quantification strategy; a multi-task performance prediction model is adopted to quickly predict the precision, resource occupation and delay of the optimal candidate configuration so as to accelerate the search process; according to the optimal configuration, a hardware accelerator code facing the target FPGA is automatically generated, and integration and implementation are completed. According to the method, collaborative optimization of neural network compression and hardware design is achieved, FPGA resource occupation can be remarkably reduced, the reasoning speed can be increased, and meanwhile the model precision is kept.

The invention belongs to the technical field of construction project informatization, and particularly relates to a multi-source data fusion driven construction project collaborative design decision platform and method, and the platform comprises a multi-source data fusion and identification module which collects construction project multi-source data and distributes a unique industrial internet identifier; a BIM-three-dimensional scene fusion module; and the BIM-three-dimensional scene fusion module constructs an engineering strip-shaped three-dimensional real scene and realizes BIM model fusion. According to the invention, unified identification, standardization and traceability of engineering data are realized through the multi-source data fusion and identification module so as to improve the cross-professional cooperation efficiency, and the BIM-three-dimensional scene fusion module realizes seamless fitting of BIM and a banded scene through dynamic calibration and geometric correction and solves the problem of static fusion precision. The intelligent decision support module automatically detects cross-professional conflicts and generates an optimization scheme to improve decision scientificity and efficiency, and finally meets the requirement of construction project whole-process collaborative design.

The invention provides a multidisciplinary collaborative design and engineering digitization platform for a motor system, which integrates natural language processing and large language model technologies, is connected with electrical, electromagnetic, thermal and control multidisciplinary simulation tools, realizes full-process collaborative optimization from demand input to manufacturing output, and improves the design efficiency. The platform converts a natural language into standardized parameters through an instruction analysis module, drives electrical modeling, electromagnetic simulation, thermal analysis and control algorithm design, automatically generates a two-dimensional / three-dimensional model and a corresponding processing technology file based on an optimization result, and further constructs a unified digital main line through an engineering data middle platform. Integrated management and closed-loop optimization of design, simulation and manufacturing data are achieved, meanwhile, a user can monitor a simulation result and manufacturing feasibility in real time through a graphical interface, the platform supports interdisciplinary collaborative iteration and parameter linkage closed-loop optimization, the design efficiency and manufacturing feasibility are remarkably improved, and the design cost is reduced. The method is suitable for digital and intelligent development of a motor system in the industrial and scientific research field.

The invention discloses a clothing multi-mode collaborative design method driven by small-number ornaments. The clothing multi-mode collaborative design method specifically comprises the steps of receiving an ornament plane image uploaded by a user, extracting an ornament main body contour through an image segmentation network, executing three-level attribute classification in parallel based on contour features, and generating a structured feature matrix M; inputting the feature matrix M into a copyright filtering module, and outputting a costume design constraint set; encoding the constraint set C into embedded vectors with the same dimension as the feature matrix M, performing LayerNorm standardization and splicing, inputting the embedded vectors into a generative adversarial network, and outputting a matching degree score S; performing process decision based on the matching degree score S, including: generating a cost optimization model in combination with the version complexity and the fabric unit price; the metal ornament is associated with anti-wrinkle fabric, and a laser cutting process is started for a special-shaped outline; and outputting a cutting scheme and a bill of materials which can be directly put into production.

The invention discloses a green building full life cycle resource sharing and collaborative management method and system, and relates to the technical field of workflow management, and the method comprises the steps: receiving a collaborative design request, creating a task tree by a task management module, and determining a task progress according to the task tree; the green tool integration module calls basic modeling software based on the task progress to obtain building information model data; the green tool integration module calls performance simulation software and calculation software based on the building information model data to generate multi-type result data; the task management module performs quantitative and qualitative analysis on the multi-type achievement data to obtain an analysis result, and sends the analysis result to a green special topic review module; and the green thematic examination module generates evaluation term data and evaluation version data based on the analysis result, and integrates the evaluation term data and the evaluation version data into an evaluation report for output. The method can effectively shorten the iteration period and reduce the error rate.

The invention discloses a station site selection and leveling design collaborative decision-making method and system based on spatial analysis, and belongs to the technical field of constructional engineering.According to the method, through topographic data processing, candidate station range screening, station and slope collaborative design, optimization adjustment and iterative optimization, and through combination of high-precision topographic data, topographic classification and a topographic analysis algorithm, the site selection and leveling design collaborative decision-making efficiency is improved. Areas suitable for construction stations can be accurately screened out, unavailable lands can be effectively avoided, and risks are reduced; according to the method, the automatic collaborative optimization of the station position and the slope design is realized, the mutual influence among the station parameters, the slope parameters and various constraint conditions is fully considered, the iterative optimization is carried out by taking the minimum leveling cost as the target, and the station construction cost is effectively reduced.

The invention discloses an enzyme activity optimization and dynamic screening method based on collaboration of multiple computing servers, belongs to the field of computational biology and enzyme engineering, and realizes collaborative design of multiple platforms by integrating technical advantages of online and local computing servers such as FireProt 2.0, PROSS, Rosetta and FoldX 4.0. Mutation design is carried out from multiple dimensions of structure prediction, evolution conservative property, energy calculation and the like, and a potential mutant library is constructed; a multi-condition screening strategy is used, and a mutant with high potential is screened out through visual inspection, conservative analysis and multi-method cross validation, so that invalid design is avoided; molecular dynamics simulation and MM / GBSA binding free energy decomposition are further combined for dynamic binding analysis, the influence of mutation on the substrate binding strength is quantified, and the stability and reliability of mutation effect prediction are remarkably improved.

The invention discloses a cable lifting and conveying device, a control method and a cable laying system and method.Through collaborative design of a walking chassis, a lifting device, a slidable lifting platform and a cable conveyor and unified regulation and control by a control module, synchronous development of cable laying and racking operation is achieved, extra manpower or equipment is not needed to transfer a cable, and the working efficiency is improved. Working procedure connection time consumption is greatly reduced, manpower and material resource investment is reduced, and laying efficiency is remarkably improved; moreover, by means of transverse sliding of the sliding block base and accurate conveying of the cable conveyor, and in cooperation with height adjustment of the lifting device, snakelike cable arrangement can be accurately completed, arrangement accuracy and consistency are effectively improved, and the strict requirement of engineering for accuracy is met; and meanwhile, the crawler-type clamping structure of the cable conveyor endows the equipment with an autonomous clamping and conveying function, the moving capacity of the walking chassis is combined, the cable conveying flexibility is improved, the equipment can adapt to complex and changeable laying scenes, and the automation degree and adaptability of cable laying engineering are integrally improved.

The invention discloses a realization method and system for a domestic environment-oriented MBSE collaborative modeling platform architecture. The method comprises the following steps: constructing a distributed operation environment adaptive to a domestic chip, an operation system and a database based on a micro-service architecture; deploying a modeling engine, cooperative control and data persistence micro-service; multi-user operation requests are received through cooperative control micro-service, conflict detection and coordination are carried out by using an operation transformation algorithm based on a vector clock and a priority decision function, and a global ordered operation sequence is generated; executing the sequence through a modeling engine to update a model state and perform consistency verification; storing the model state and the historical record to a domestic database by using a data persistence micro-service; a bidirectional traceability matrix is constructed through demand influence degree analysis based on a graph neural network. According to the method, the problems of MBSE tool missing, low collaboration efficiency and data isolated island in a localized environment are solved, and safe and controllable efficient collaboration design and full-life-cycle management are realized.

The present invention relates to a CAD collaborative design system, for storing CAD files according to a timeline, and that facilitates restoration and review of versions created, modified, and updated at different times. The system stores the CAD files by means of summary files and incremental databases, thereby reducing data transmission volume, ensuring accuracy of file restoration, and improving the file management efficiency of the entire CAD system.

This invention belongs to the field of intelligent agent large language model service technology, and discloses a chip computing system, device and application for intelligent agent large language model. Through the collaborative design of hardware architecture and software scheduling, it systematically solves the core technical challenges faced by intelligent agent large language model services. Specifically, it includes a hardware and software collaborative implementation scheme for resource partitioning, key-value cache management and runtime scheduling of pre-filling, decoding and tool call related workloads in a multi-chip encapsulation and inconsistent memory access environment.

The present application belongs to the floor lamp technical field, the backlight formula floor lamp of the present application, through the collaborative design of structure modularization and airflow guide, realizes the detachable structure under the premise of ensuring the high-power lighting heat dissipation performance, significantly reduces the packaging, transportation and installation cost: the heat dissipation frame is through the split type layout cooperation of main heat sink and annular heat sink, with radial heat dissipation fin and heat dissipation channel, combined with the first air inlet air duct, the second air inlet air duct formed between the inverted conical cover cavity of the suspension bottom cover and the air guide, constructs the convection heat dissipation path of the bottom double side air inlet, guided by the heat dissipation fin and discharged from the air outlet, while guaranteeing the heat dissipation demand of high-power light source, the heat dissipation frame, annular bottom cover, suspension bottom cover and lamp stand are all assembled by detachable clamping or connecting structure, so that the product can be disassembled into multiple modular components for flat packaging, greatly reducing the packaging volume, reducing the transportation occupied space and logistics cost, and the user can complete the assembly by simply clamping.

The invention discloses a breast pad. The breast pad comprises a functional material layer which is combined on the surface of one side, facing a main body, of a top layer and comprises microcapsules, the microcapsule wraps the core material containing wool fat, the ratio D / d of the average particle size (D) of the microcapsule to the average pore diameter (d) of the bearing surface of the top layer is 1.2: 1-5: 1, and through the collaborative design of the specific sandwich structure and the size, the microcapsule can be stably stored, and the core material is released under the body temperature and soft pressure in the lactation period, so that the microcapsule can directionally and efficiently penetrate through the top layer to act on the skin, and the skin is protected. Therefore, while moistening and protecting are achieved, the greasy feeling is remarkably avoided, and the original absorption dryness of the breast pad is kept.

This invention discloses a 3D electrical intelligent design system integrating image recognition and multimodal knowledge graphs. It includes a multimodal perception layer, a multimodal knowledge graph layer, an intelligent design engine layer, a full-process interaction layer, a dual-engine collaborative core unit, and a non-functional support unit. The multimodal perception layer collects multi-source data from drawings, 3D scenes, and operations and maintenance. The multimodal knowledge graph layer enables cross-modal knowledge modeling and reasoning. The intelligent design engine layer completes core design tasks such as automatic scheme generation and conflict detection. The full-process interaction layer enables multimodal human-computer interaction and collaborative design. The dual-engine collaborative core unit ensures efficient collaboration between image recognition and the knowledge graph. The non-functional support unit ensures the safe and reliable operation of the system. This invention solves the problems of shallow multimodal fusion, disconnect between design and operations and maintenance, and poor collaboration in existing electrical design systems, significantly shortening the design cycle, reducing the error rate, and improving the intelligence and accuracy of the design.

The utility model discloses a stamping device for deburring a lock cylinder, which comprises a bottom plate, a transverse stamping part, a first air cylinder, a vertical limiting plate, a limiting hole, a vertical stamping part, a transverse limiting rod assembly and a second air cylinder. The limiting hole and the transverse rod are connected in an inserted mode to lock the downward moving path of the vertical stamping part, on the contrary, when the key groove stamping strip moves downwards, the right moving path of the transverse stamping part is limited, the interlocking mechanism ensures that the marble groove and the key groove stamping strip cannot act at the same time, the movement interference risk of the marble groove and the key groove stamping strip at the lock cylinder intersection is thoroughly eliminated, and the equipment damage probability is remarkably reduced. The pressing switch and the linkage pressing assembly are integrated in the transverse limiting rod assembly, when it is detected that a stamping part is not reset or moves in a conflict mode, the pressing switch is triggered through mechanical linkage, then an instruction of an emergency stop air cylinder is triggered, and equipment overload or workpiece damage caused by misoperation or program errors is avoided.

This invention relates to the field of automated warehousing technology and discloses an automated storage and retrieval system (AS / RS) based on a heavy-duty stacking robot. A material storage area is located on one side of the material entry / exit area, and a preparation and charging area is located on the other side. An import / export docking area is located inside the material entry / exit area, and a lifting and transferring machine is also included within the import / export docking area. An automated storage and retrieval system with a three-dimensional racking mechanism is located inside the material storage area. This AS / RS based on a heavy-duty stacking robot, through its modular architecture and intelligent collaborative design, effectively solves the problems of low space utilization, high cost, and poor flexibility in traditional AS / RS. It achieves precise and efficient handling of heavy-duty goods, eliminates the need for dedicated tracks, reduces modification costs, and significantly improves the overall automation level, space utilization, and operational stability of warehousing operations. It caters to both new construction and renovation needs, providing enterprises with a low-cost, highly adaptable heavy-duty warehousing solution.