New Energy New Energy

New Energy

Production line inspection data storage and management solutions

Background of the solution
Customer Challenges
Our Solutions
Customer Value
Success Stories

Background of the solution

With the rapid development of the new energy industry, the intelligent detection data management of production lines is facing challenges

With the continuous development of new energy, the penetration rate of new energy vehicles continues to increase, and the energy storage system is also continuously popularized, and various products corresponding to the new energy industry have ushered in unprecedented development opportunities. New energy manufacturers have followed the trend of new energy industry transformation and promoted the digitalization and intelligence of production and manufacturing through continuous technological innovation.

Because of its high efficiency, high precision and repeatability, intelligent detection technology is widely used in the field of new energy product quality testing, production line production links, all kinds of CCD, AOI, AVI equipment system operation, will continue to generate massive quality inspection data and process log files. These massive quality inspection data need to be stored for a long time based on quality traceability requirements, and how to use and mine the value of these data is very important. Quality inspection data has also become one of the core data assets of new energy manufacturing enterprises.

Customer Challenges

The quality inspection data of the production line is scattered and difficult to manage, and the retrieval efficiency is low?

Quality management: The quality analysis and traceability cycle is lengthy, time-consuming and labor-intensive

Quality management: The quality analysis and traceability cycle is lengthy, time-consuming and labor-intensive

When quality engineers conduct quality analysis or traceability, they need to query in massive data, and the traditional way can only search layer by layer by catalog, with a single dimension and low efficiency.

Fields such as new energy vehicles require data to be kept for at least 15 years. Traditional NAS solutions are costly.

The detection data needs to be compared with the statistical data of MES and other systems, and the manual statistics and comparison methods are original and inefficient.

Process management: Process problem analysis data acquisition time is long and inefficient

Process management: Process problem analysis data acquisition time is long and inefficient

Positioning analysis requires multi-dimensionality, just like multiple machines in a production line, multiple production lines in the same factory, and even multiple factories of an enterprise.

The amount of data involved in location analysis is huge, and the data export of existing patterns takes too long, which seriously affects the problem positioning.

The global analysis involves cross-plant data call, and the existing methods are mainly packaging, downloading, uploading or media copying, and some also require process approval, which is very cumbersome and inefficient.

Machine management: There are too many concerns in the management process, the process is cumbersome, and the efficiency is low

Machine management: There are too many concerns in the management process, the process is cumbersome, and the efficiency is low

The testing machine involves multiple suppliers, with complex types and large quantities, and is mainly followed up and managed one by one in a walk-around manner, and the overall process is cumbersome and inefficient.

The storage space of the server is limited, and the hard disk needs to be transferred frequently to other media, and data loss occurs from time to time through FTP and other methods.

If the number is large, when there is a problem or failure, it cannot be detected and followed up in time, which affects the normal operation of the production line business.

Our Solutions

Build a unified storage and management platform for production line data

In the face of the massive production line testing data in the new energy industry, Shanyan Data provides a testing data management system (IDM), which provides an efficient and unified management platform for pictures, logs and other data for the machine testing equipment of multiple production lines, helping new energy enterprises to achieve efficient collection and aggregation of massive data, high-performance storage, intelligent data processing, and convenient data calling, and effectively solve the problems of storage, management and application of quality inspection data of new energy production lines.


Build a unified storage and management platform for production line data

Customer Value

The data management of the production line has been greatly improved, and the quality traceability efficiency has been increased by 100 times

The efficiency of quality backtracking/manual review data retrieval is improved by 100 times

The efficiency of quality backtracking/manual review data retrieval is improved by 100 times

Manual review is faster: 100 billion files can be retrieved in seconds, and the efficiency can be increased by hundreds of times.

More timely quality traceability: Data is packaged and downloaded and delivered at high speed, resulting in shorter service waiting time.

More accurate process improvement: Flexible labeling strategy, more accurate process problem positioning, and more targeted analysis.

Automatic data collection and unified management of 10,000-level machine scale, making operation and maintenance management more worry-free

Automatic data collection and unified management of 10,000-level machine scale, making operation and maintenance management more worry-free

Machine management is more worry-free: 10,000-level scale, automatic discovery, unified monitoring, unified deployment/upgrade, automatic data collection and upload, saving time and effort.

More agile data management: Inspection data is automatically tiered to the tape library, and metadata is stored in the hot and warm tier for fast retrieval.

Clearer permission management: The fine-grained permission management mechanism can be flexibly customized with the position, and the data can be effectively shared and safely isolated.

Rapid adaptation to multiple services: Efficient and collaborative docking with business systems such as YMS, MES, and AI analysis and rejudgment.

Automatic data compression and automatic tiered storage greatly reduce TCO

Automatic data compression and automatic tiered storage greatly reduce TCO

Lower storage costs: Image compression and conversion can be reduced by 90%, which can save storage costs by more than 60%.

Work is more valuable: automation replaces cumbersome labor, which can reduce 90% of inefficient investment in quality/equipment management, and make work more focused.

Less O&M investment: Centralized O&M of 10,000-scale machines reduces a large amount of on-site manpower and saves O&M costs by more than 30%.

Lower investment costs: Unified management of the entire lifecycle of hot, warm and cold pool data eliminates the need to deploy a separate backup system, resulting in lower total investment costs.

Success Stories

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Assist in the digital upgrade of intelligent manufacturing production lines

The storage and management of production line inspection data

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Assist in the digital upgrade of intelligent manufacturing production lines

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