![AI/ML based Billet Monitoring Solution - IoT ONE Case Study AI/ML based Billet Monitoring Solution - IoT ONE Case Study](/files/casestudy/66597b3e5beb0.png)
适用行业
- 汽车
挑战
人工监控炽热的钢坯并比较其精确参数非常困难
该系统的优点是它消除了人为努力,从而能够正确识别制造错误
因此,整个系统需要以数字化方式操作,尽量减少人为干预,以使用 AI/ML 简化整个过程的运行,此外,必须在硬件边缘为整个系统提供关键保护。
解决方案
所提供系统的概述如图所示。执行上述测量的拟议系统应包括以下内容:
基于视觉的宽度、高度和菱形度测量系统。
用于测量垂直弯曲、水平弯曲和长度的激光传感器。
用于测量位移的激光传感器。
运动系统具有约13M的行程,用于激光传感器的定位。
MS/AL 框架安装运动系统和传感器。
MS 代表用于地面安装框架的安装。
用于测量截面尺寸(高度、宽度)的传感器和系统。
系统计算机、控制面板、定制应用软件。
自动生成测试报告。
与业主网络的数据通信。
数量效益
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