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相关概念视频

Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Elastic Collisions: Case Study01:15

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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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相关实验视频

Updated: Apr 8, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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车辆作为传感器方法用于城市轨道异常检测.

Vlado Sruk1, Siniša Fajt1, Miljenko Krhen2

  • 1University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
概括

本研究介绍了一种基于振动的轨道异常检测 (VTAD) 系统,使用公共电车作为移动传感器. 它可靠地检测轨道异常,准确度高,提供一个具有成本效益的预测性维护解决方案.

关键词:
检测异常检测异常检测预测性维护是指预测性维护.城市电车基础设施城市电车.作为传感器的车辆基于振动的监测监测基于振动的监测.

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科学领域:

  • 工程 工程师 工程师 工程师
  • 运输科学 运输科学
  • 智慧城市基础设施 智慧城市基础设施

背景情况:

  • 城市电车基础设施需要持续监测安全性和效率.
  • 使用专用诊断列车的传统方法往往是昂贵和低效的.
  • 将状态监测集成到现有的公共交通中提供了一种新的方法.

研究的目的:

  • 介绍基于振动的轨道异常检测 (VTAD) 系统,用于实时监测城市电车基础设施.
  • 利用公共交通工具作为分布式移动传感器平台.
  • 建立一个具有成本效益和可扩展的预测性维护解决方案.

主要方法:

  • 集成低成本的微型电机系统 (MEMS) 加速度计,全球定位系统 (GPS) 模块和ESP32微控制器.
  • 使用消息队列遥测传输 (MQTT) 进行无线数据传输,以持续监控状态.
  • 将±6σ统计值应用于用于异常检测的垂直振动信号.

主要成果:

  • 现场测试证明了可靠的检测和轨道异常的位置,准确度达到测量器水平.
  • 该系统成功地将公共交通工具转换为有效的移动传感器平台.
  • 通过重复测量验证证实了系统的可靠性.

结论:

  • VTAD系统为电车基础设施提供了一个经过验证,具有成本效益和可扩展的预测性维护解决方案.
  • 该系统可以集成到智能交通系统和智能城市基础设施中.
  • 这种方法消除了专门诊断列车的需求,优化了资源配置.