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360 SIMS – The Power of Large Data Set in

Automated 3D Metrology & Process Control

360 SIMS – 大数据中最强有力的自动3D测量及过程控制工具

Tal Vagman, Director Product Strategy|产品策略总监

Zhang Zhe, Service Manager|服务技术经理18, November, 2015

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Innovative Technology; Variety of Cells and Configurations

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Our Goal : Contribute to Integrated Quality Production我们的目标：促成完整的高品质生产

SM Stamped Parts

冲压钣金件

SM Subs分总成

BIW Assembly Line

白车身装配线

Closures subs门盖分总成

Body/Closure车身/门盖

Engine Cradles发动机支架

General/ Final Assembly总装

Final Car inspection整车检测

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Sampling (Traditional CMM)

抽检（传统三坐标）100% Inspection

100%全检

Sampling off-line vs. 100% Inspection in-line离线抽检与在线100%全检的对比

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Why measure Production Parts / Assemblies near or In-line ?为何要在线旁或在线监测零件/总成？

• Help bring dimensions closer to design intent (drive to nominal)

使得尺寸更接近设计意图（更接近理论值）

• Product Quality Monitoring, Process Control

产品质量监控，过程控制

• Continuous process improvements

持续的过程改进

• Pin pointing cause and guiding corrective action

找出问题成因并指导矫正/修正

• Historical analysis & archiving

历史分析及归档

Advantages

优势

• Faster ramp up / problem solving

更快提升或解决问题

• Reduce rework, scrap, logistics, warranty cost

减少返修、报废、物流和维护成本

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Upper reject limit

Upper spec limit

Product Quality Development & Monitoring 产品质量提升及监控

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Inspection Plan – Until today based on critical points only 测量计划 – 目前仍只基于关键点

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With 360 SIMS: Both Area & Critical Features Measurement 在360 SIMS系统：全部区域及关键特征的测量

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Flexible setting of control limits

柔性设置控制极限- Each limit can trigger different action每个极

限都能触发不同的动作- Limits can be changed according to actual

production situation 极限依据实际生产状态进行调整变化

- Limits can refer to % of tolerance 极限可以参照公差的百分比进行设置

OK – Within tolerance 合格 – 在公差内

Trending – Near tolerance limit 注意 – 接近公差极限

Out of tolerance 超出工程

Measurement Error 测量错误

Rejected – Stop the line 弹出 – 停线

Customer Standards for Product Monitoring / Process Control依据客户标准的产品监控/过程控制

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Distribute data to different users according to their specific needs

依据不同用户的特殊需要分配不同的数据

From the Cell to the Data users从工位到数据用户

In-line Station

在线工作站

In-line Cell

在线工位

Data Users

数据用户

Quality Control Room

质量管理控制室

Factory IT

工厂IT

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Measurement Cell: Data Distribution to Various User Needs测量工位：数据分配给不同的用户需求

Operator Pass /Fail indicator

操作员通过/不通过指示

Automatic PDF Report

自动PDF报告

Automatic unified .cto

自动生成cto文件

Export to Qdas, Quirl, custom customer

SPC / Reporting SW

导出值Qdas/Quirl/客户定制的SPC或报告软件

On-screen Color Map analysis

公开的面差分析

Video of the day

当日数据一览

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Same Production measurement visualized by various Software Tools (Customer, 3rd

Party and Hexagon Metrology)相同的数据在不同的软件工具中的直观表示（客户数据，第三方软件，海克斯康软件）

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Flexible Post Measurement Inspection / Analysis灵活的后测量检测/分析

Adding on full data set:基于全尺寸数据：

• Adding surface points 添加表面点

• Adding features / edges / dimensions添加特征/边界/尺寸

• Re-aligning with different settings使用不同的要求重建坐标对齐

• Cross sections and adding dimensions 截面线和增加2D尺寸

• Exporting all types of data / reports输出所有类型的数据和报告

Adding on our compressed data: 基于我们的压缩数据

• Surface points, edge line points and dimensions表面点，边界线点和尺寸

• Cross sections and 2D dimensions截面线和2D尺寸

• Exporting various types of data 导出不同类型的数据

• Generating Master part 生成主零件

• Generating reports 创建报告

•

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Stabilization during

Launch / ramp up

试生产至发布/爬坡

Controlling a stable process

在稳定的生产过程中 Adapting limits according

To production stability &

tolerance

在稳定生产过程中依据稳定结果进行公差调整

Handling less stable

points

出来不稳定点Non stable critical points

关键点不稳定

Temporary / limited

rejections Or reworks

偶发/停线或返工

Process Control Life Cycle & Identifying Different Situations在整个产品生产周期&在不同生产状态下进行过程控制

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Point and Area based Process Control / Server Based基于过程控制/服务器的点和区域

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Process Control Tools (Features and Dimensions)过程控制工具（特征与尺寸）

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From Fully Automated Station to User Intervention从全自动状态至用户干预

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Point Selection and New Large Data Set Paradigm点选和大数据设置范式

• Transform from critical points only to our added value

capabilities surface colormap, xs, edge line, etc

从只关注关键点到使用我们的增值能力上，如表面的色差图/截面线/边界点等

• Add multiple programs to help support various process life

cycle stages

增加多个程序来帮助在整个测量周期中多种程序

• Add Special studies to even increase system value during launch

and breaks

在发布阶段和生产中断阶段，增加特殊的应用提升设备价值

Subroutine 1子程序1

Subroutine 2子程序2

Subroutine 3子程序3

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Cycle time limited Measurements + Special Studies受限于生产节拍的测量+特殊应用

• 2 operating modes for special studies:

两种操作模式的特殊应用

• Line down time or ramp-up and initial launch periods

流水线加减速或初始启动阶段

• Running during breaks or between shifts

在休息前后或早晚两班交班的运行

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Back lights Assembly Area Detailed Study / Analysis后尾灯装配区域的详细应用/分析

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Additional Analysis as needed额外的分析需求

Special Round Edge line Measurement for F&G analysis

特殊的圆边线测量用于面差间隙分析

Changing Colormap settings to support tighter tolerances

改变不同的色差用以更小的公差

Measuring all critical features and points in the area

测量关键区域内所有的特征和点Matching Surface Point for F&G analysis

自动匹配 表面点用于面差间隙分析

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“Image of the day” reporting “今日图像”报告形式

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Patented VSPC for Problem Solving and Process Stability Analysis专利技术VSPC：用于问题解决及过程稳定分析

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• Comparisons 相互比较

• Averages and ranges 均差与极差

• Statistics / Trend charts 统计/趋势图表

• Finding closest to median找出中值

• Virtual Master Part 虚拟主零件

• Comparing Groups of parts 一组零件相互比较

• Generating unified result生成统一的结果

• Generating virtual results from statistics 生成统计学中虚拟的结果

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Patented “Video-of-the-day” – Split Screen on different areas专利技术：“一日综览” – 分屏显示不同区域

• Patent Pending 专利申请中

• Full shift in 60 sec clip 整个班次尽在60秒短片

• Part, Trend, +summary statistics

visualization零件，趋势，结果统计可视化展示

Roadmap:路线图：

• 360 SIMS DataServer enabled激活360

SIMS数据服务器

• Automated generation 全自动生成

• Distribution to user / mobile devices发布到用户/移动设备

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In Future – more actionable data into the video report今后 – 更多新功能将在影像报告中增加

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Small and Large Data set

小和大数据集

Cell Monitoring

工位监控

3rd Party Integration

QDAS/SPC

第三方整合Qdas/SPC

Mobile

手机

Reports Generation

生成报告

Video of the day generation

生成一日综览 Search results

检索数据

More Ways for Using and Accessing the Metrology DATA多种多样的方式使用和访问计量数据

Metrology

Database

Application

Server

• Server provides access to users and application to all managed data

• 服务器为用户提供所有的被管理数据的访问和应用

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The Data Challenges数据的挑战

We create a lot of data and needs to be:我们创造了大量的数据，以下是我们需要做的：

1. Stored 存储

2. Distributed 发布分配

3. Managed 管理

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Data Management and Storage – Recommended数据管理和存储 – 建议

Cell Data Server (all measurement results)

工位数据服务器（所有的测量结果）

1. 6 months of data advised

建议数据保留6个月时间

2. Older then that to be backed-up on archived storage in IT room

更老的数据备份或存档至IT部门

Network File Storage (.cto, PDF, Pics, Videos others)

网络文件存储（.CTO，PDF，图片，影像等）

1. Very short term saving of full projects (GBs per measurement)

全尺寸数据短期的存储（每次测量以GB单位获得数据）

2. Naming convention based on customer wishes

以客户习惯来命名数据

3. Unlimited storage but requires periodical maintenance

无限制的数据存储但需要定期的维护

Customer SPC / IT systems (f.i., csv, dmo, DFQ, quirl, etc)

客户的SPC/IT系统（F.I.，CSV，DMO，DFQ，QUIRL等）

1. Agreed formats saved for automatic processing by customer system

自动按客户系统需求生成客户接受的格式。

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~50 Mgb per part每个零件50MB

700 parts/day 700件/天

35 Ggb per day 35GB每天

Saved time, 6 months ≈ 6.4 Tb 存储6个月约需要6.4TB容量

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