Renewable Energy-Dataram AI

Background of the Solution

Driven by the rapid expansion of the new energy sector, EV market penetration is surging, and Energy Storage Systems are seeing widespread adoption. Manufacturers in this sector are accelerating digital transformation and intelligent production through ongoing innovation.

Thanks to their high efficiency, precision, and repeatability, intelligent inspection technologies are now widely used in new-energy quality testing and production lines (including CCD, AOI, and AVI systems). These processes generate massive volumes of inspection images and log files that must be retained long-term to meet quality-traceability requirements. Managing, storing, and extracting insights from these data has become a critical challenge and a key driver of competitiveness. Inspection data is now one of the most valuable digital assets for new-energy manufacturers.

Challenge

Equipment management is challenged by multi-vendor environments, diverse equipment types, and massive scale, leading to complex processes, low efficiency, and heavy reliance on manual monitoring.
On-board machine servers have limited storage capacity, requiring frequent exports to HDDs. Data loss or corruption often occurs during FTP or network transfers.
A single operator typically oversees multiple machines; when machine counts rise, failures often go unnoticed, impacting line productivity and overall yield.

Solution

To address the growing volume of inspection data in new-energy production lines, Dataram provides the Inspection Data Management System (IDMS) a unified, high-efficiency platform for managing images, logs, and related inspection data across multiple lines.

IDMS enables high-performance data ingestion and aggregation, intelligent processing, and rapid access, helping new-energy manufacturers overcome challenges in data storage, management, and utilization while improving production visibility and decision-making efficiency.

Dataram inspection data management solution for electronic manufacturing

Value

More timely quality traceability: flexible labeling strategy, instant retrieval of 100 billion level files, fast packaging and downloading of data, and shorter business waiting time.
Machine equipment management is worry free: Machine management is more worry free: 10000 detection machines can be automatically discovered, monitored, deployed/upgraded, and data can be automatically collected and uploaded, saving time and effort. Efficient integration with business systems such as YMS, MES, AI analysis and re evaluation.
Significantly reduce TCO: Image AI lossless compression conversion can reduce by 30%, and the entire lifecycle of hot, cold, and hot pool data can be managed uniformly without the need to deploy a separate backup system, saving over 60% TCO.