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相关概念视频

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

467
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
467
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

723
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
723
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

261
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
261
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

666
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
666
Machines: Problem Solving II01:30

Machines: Problem Solving II

622
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
622
Machines: Problem Solving I01:22

Machines: Problem Solving I

659
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
659

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相关实验视频

Updated: Jan 8, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

381

基于大型语言模型的可重新配置的生产线切换任务规划框架.

Jinliang Hou1, Li Yan2, Hua Qiang3

  • 1Xi'an Technological University, Xi'an, China. houjinliang@st.xatu.edu.cn.

Scientific reports
|December 17, 2025
PubMed
概括

本研究介绍了使用大型语言模型 (LLM) 对可重新配置的生产线的自动切换任务规划框架. 基于LLM的系统提高了效率,并减少了生产线更换中的错误.

科学领域:

  • 机器人和自动化 机器人和自动化
  • 人工智能的人工智能
  • 制造系统工程 制造系统工程

背景情况:

  • 在可重新配置的生产线中,手动更换会导致低效率和高错误率.
  • 自动化这些操作对于提高制造业的灵活性和生产率至关重要.

研究的目的:

  • 为可重新配置的生产线提出一个自动切换任务规划框架.
  • 利用大型语言模型 (LLM) 来解释用户指令和控制机器人.

主要方法:

  • 一个整合知识图,高级任务计划器和低级任务计划器的框架.
  • 基于LLM的解释语义指令来分解任务并生成技能序列.
  • 基于技能的模块化编程,具有四层控制架构.

主要成果:

  • 通过单机器人和实际生产线实验来证明框架的正确性.
  • 成功控制了一个制造的交换机器人来执行自动交换任务.
  • 验证了框架解释用户指令和执行自动更换的能力.

结论:

  • 拟议的基于LLM的框架有效地解决了手动切换操作中的挑战.

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  • 在可重新配置的生产线中实现自动切换任务,提高效率和准确性.
  • 为更智能和自主制造系统铺平了道路.