This article provides an in-depth analysis of how global photovoltaic technology leader Aiko Solar tackled the complex challenge of reading DPM (Direct Part Mark) codes in its core production process—the graphite boat procedure. Facing a process environment where traditional methods were nearly ineffective, Aiko Solar successfully achieved a breakthrough in recognition rates by deploying the SEUIC AUTOID 10-DPM industrial mobile computer, significantly boosting production line scanning efficiency by 30%, setting a new benchmark for production and full-process traceability in the PV manufacturing industry.
User Background
Aiko Solar is a globally leading new energy technology company, focusing on core photovoltaic power generation products and integrated photovoltaic energy storage solutions. The company provides customers with solar cells, all-back-contact (ABC) modules, and scenario-based solutions. Adhering to the mission of "driving the zero-carbon society forward," Aiko Solar accelerates the arrival of the zero-carbon energy era through relentless innovation.
Challenges
In Aiko Solar's production process, after the graphite boat undergoes the PECVD coating process, the reading environment for DPM codes on its surface becomes extremely challenging: uneven color changes caused by high temperatures render standard equipment ineffective; residual moisture from cleaning causes glare interference, requiring multi-angle scanning to avoid; and subtle differences between multiple process stations make equipment debugging and management maintenance exceptionally cumbersome.
In the graphite boat production process, traditional DPM code reading methods face numerous challenges. The PECVD coating process creates complex process conditions; due to surface color changes and moisture interference, standard QR code recognition on photovoltaic production lines is almost impossible to achieve.
The AUTOID 10-DPM represents a breakthrough in industrial mobile computer scanning technology. Its professional DPM scanning engine combined with AI enables excellent DPM code reading performance even in the most challenging photovoltaic production environments.
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