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5 results about "Parallel design" patented technology

A parallel design, also called a parallel group study, compares two or more treatments. Participants are randomly assigned to either group, treatments are administered, and then the results are compared.

Collaborative modeling method, device and system, computer equipment and readable storage medium

The invention relates to a collaborative modeling method, device and system, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a target model copy corresponding to each client; the target model copy is obtained by designing and processing the initial model copy of the target model in parallel by each client and feeding back to the server; the initial model copy is constructed by the server in response to a design request of the client; and according to the submission sequence of the target model copies, performing data merging on the initial model master based on each target model copy in sequence to obtain a target model master corresponding to the target model. By adopting the method, the model design efficiency can be improved.
Owner:BEIJING PACTERA JINXIN TECH LTD

Virtual simulation experiment method for schematic diagram design of hydraulic system

The invention discloses a virtual simulation experiment method for schematic diagram design of a hydraulic system. The virtual simulation experiment method comprises the following steps: (1) analyzing and confirming a basic loop needing to be designed according to design requirements; (2) designing and simulating an oil supply loop; (3) designing and simulating a speed regulation loop; (4) designing and simulating a reversing and rapid motion loop; (5) designing and simulating a speed change-over loop; (6) drawing a schematic diagram of the hydraulic system; (7) designing and simulating an electromagnet action control circuit; and (8) performing experimental evaluation. The method is particularly emphasized to cultivate the comprehensive evaluation ability required by the engineering decision of students, break through the teaching mode of a single standard solution, and provide the practice opportunity of multi-scheme parallel design and comparison. And the inherent problems of high equipment cost, high construction risk, limited student participation degree and difficult observation of oil flow direction and element action of the traditional experiment can be effectively avoided, and an interactive virtual experiment method is provided for the schematic diagram design experiment teaching of the hydraulic system.
Owner:LIAOCHENG UNIV

Collaborative design method for general station and general assembly factory in ship industry

The invention provides a collaborative design method for a general station and a general assembly plant in the ship industry. The collaborative design method provides a cross-organization closed-loop collaborative mode based on bidirectional mapping and data packet driving. Through a system architecture with a parallel front end and an independent rear end, a general station and a general assembly factory can carry out parallel design and review on the same platform, the method establishes a design ID-construction ID bidirectional traceability mechanism throughout the whole process, modification of any party can be automatically pushed through a data packet, influence analysis is triggered, and an accurate closed loop of change is realized. The mode not only breaks through data flow and business flow of design, process and manufacturing, but also fundamentally solves three core pain points of data splitting, flow serialization and change response low efficiency brought by a traditional'wall-throwing 'mode, and promotes ship research and development to be transformed to efficient collaboration and flexible parallel.
Owner:JIANGNAN SHIPYARD (GRP) CO LTD

Multi-scheme parallel design whole process visual traceability system and implementation method

The invention discloses a multi-scheme parallel design whole-process visual traceability system and an implementation method. The method comprises the following steps: 1) firstly deploying a data engine micro-service; 2) deploying a service system, and calling a data engine SDK (Software Development Kit) to complete initialization of a system queue; 3) calling a data engine SDK by the back end of the service system, and transmitting data among different schemes in the parallel design process; and 4) customizing a connection line and a control at the front end of the business system to call the data engine SDK, and returning to a data rendering interface, so that the whole business process is traced and visualized. The method is realized by adopting a micro-service architecture, a data engine service provides an SDK (Software Development Kit) to the outside, and circulation of design process data among different schemes and real-time updating of design process parameters are realized through the data engine SDK; by customizing connection lines and controls, the interface is deeply rendered, clear connection lines exist in the whole argumentation process, and full-link visual tracing of multi-scheme parallel design is achieved.
Owner:BEIJING SHENZHOU AEROSPACE SOFTWARE TECH CO LTD

Multi-objective parallel design method for concrete proportioning based on sparse gaussian process bayesian optimization

PendingCN122266563AExcellent mix ratioSolve the lack of flexibilityChemical property predictionEnsemble learningData setTheoretical computer science
The application discloses a concrete proportioning multi-objective parallel design method based on sparse Gaussian process Bayesian optimization, and the method comprises the following steps: taking a regression model represented by a preset machine learning algorithm as a meta-learner, respectively constructing meta-prediction models of data-driven concrete mechanical properties, and finally integrating the meta-learner to form a high-precision concrete mechanical property prediction model; judging whether the current concrete mechanical property pre-training prediction model meets engineering requirement information, if yes, the step can be skipped, the optimization target of the concrete proportioning is determined, that is, the weights of the mechanical property parameters and the cost of unit volume of concrete are set; entering the sparse Gaussian process Bayesian parallel optimization process, predicting the mechanical property parameters according to the generated initial proportioning, calculating the cost of unit volume of concrete under the proportioning, performing multi-round optimization, and finally obtaining the optimal proportioning; the method constructs a high-precision concrete mechanical property prediction model through pre-training or a newly-built data set, adopts a residual neural network, integrated learning and other models to integrate the advantages of multiple algorithms, and improves the accuracy of the concrete mechanical property prediction such as compressive strength, tensile strength and elastic modulus.
Owner:CHINA RAILWAY BIYUAN WATER SERVICE KUNMING CO LTD +3