Inline Measurement Solution Deployment

This section is for project implementation engineers and explains how to deploy an inline measurement solution in phases.

It focuses on the goal of each phase, the phase completion criteria, and the corresponding detailed page. For detailed software operations, jump to the linked operation guides.

Deployment Workflow of an Inline Measurement Solution

In real projects, deployment of an inline measurement solution follows the stages shown below:

inline measurement apply process

It is recommended to proceed in the following order:

Phase Goal Completion Criteria Details

System hardware setup

Install cameras, IPCs, and the network environment so the system can capture images stably.

Cameras, IPCs, and the robot are connected, and image acquisition quality meets requirements.

System Hardware Setup

Pre-deployment checks

Identify and mitigate risks related to hardware, robots, tooling, electrical systems, and on-site environment before joint debugging.

Required checklist items are confirmed as passed, and the site is ready to enter configuration and joint debugging.

Pre-Deployment Checks

Project configuration and deployment

Complete configuration on the robot, Mech-MSR, and Mech-Metrics sides, and validate the basic data chain.

Single-command, single-part, and end-to-end joint debugging pass, and the system can output measurement results stably.

Project Configuration and Deployment

Repeatability validation

Verify measurement consistency under identical conditions.

Static, semi-dynamic, and dynamic repeatability meet project requirements.

Repeatability Validation

Correlation analysis and compensation

Keep inline measurement results consistent with CMM results.

Correlation meets agreement requirements, and compensation has been configured where necessary.

Correlation Analysis and Compensation

Production management and data analysis

Support permission management, data viewing, and continuous analysis after go-live.

Users can perform daily operation, traceability, and measurement data analysis.

Production Management and Data Analysis

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