# Development and implementation of a Digital Twin workshop for a smoke alarm production line

## TL;DR

This paper introduces a digital twin workshop to improve smoke alarm production efficiency, tracking, and quality control.

## Contribution

A novel digital twin system architecture and implementation for smoke alarm manufacturing is proposed and validated.

## Key findings

- The digital twin system achieved virtual-physical mapping for production tracking and quality control.
- Defect identification rates increased by 3.2% and product defect rates dropped below 0.1%.
- Labor costs decreased by 96.7% compared to traditional production methods.

## Abstract

To address issues such as low manual production efficiency, inability to track production status, and lack of traceability for quality defects in smoke alarm manufacturing, this paper proposes a method for constructing a digital twin workshop for smoke alarm production lines. First, through demand analysis of the smoke alarm production workshop, a digital twin workshop system architecture is established. Then, by constructing a workshop digital twin model, building the workshop information system architecture, and completing multi-source heterogeneous data collection, a virtual-physical mapping between the virtual workshop and the physical workshop is achieved. Finally, the feasibility is validated in a company’s smoke alarm production workshop, demonstrating that the system can realize functions such as production progress tracking, quality control, and equipment operation monitoring. Compared to traditional transmission production, the application of this digital twin workshop significantly enhances production efficiency. Defect identification rates increased by 3.2%, product defect rates dropped significantly below 0.1%, and labor costs decreased by 96.7%.