Addressing storage issues in different storage scenarios and data formats
Provide efficient, intelligent, and reliable data management solutions
Quick retrieval and invocation of business, enabling data to unleash greater value
Background of the solution
Consumer electronics is the forefront application area of technological innovation. Driven by strong consumer demand and emerging technologies, intelligence and integration have become the competitive core of the next generation of consumer electronics industry. Fully intelligent and integrated products mean that the manufacturing end also needs to keep pace with the times and achieve "intelligent manufacturing". Intelligent manufacturing brings about the generation of massive data on manufacturing production lines, especially the various testing data brought by new intelligent testing equipment, which occupies the vast majority of the data volume. The quantity is large, the size varies, and it needs to be stored for a long time to be traced. How to effectively manage and utilize these massive production line testing data has become a major challenge for manufacturing enterprises.
Customer Challenge
When quality engineers conduct quality analysis or traceability, they need to search through massive amounts of data. Traditional methods can only search layer by layer according to the directory, with a single dimension and low efficiency.
In the field of consumer electronics, it is generally required to store data for at least 3 years, and possibly up to 5 years. The cost of traditional NAS solutions is too high.
The detection data needs to be compared with the statistical data of MES and other systems, and manual statistics and comparison methods are primitive and inefficient.
Positioning analysis requires multiple dimensions, such as multiple machines on a production line, multiple production lines in the same factory, and even multiple factories within an enterprise. The current mode is manual search one by one, which is inefficient.
The amount of data involved in location analysis is enormous, and exporting existing pattern data takes too long, seriously affecting problem localization.
Global analysis involves cross factory data calling, and the existing methods mainly involve packaging, downloading, uploading, or copying media. Some also require process approval, which is very cumbersome and inefficient.
The testing machine involves multiple suppliers, with complex types and large quantities. It is mainly managed by walking and following up one by one, which makes the overall process cumbersome and inefficient.
The storage space of the machine server is limited, and it is necessary to frequently transfer the hard disk detection data to other media. Data loss may occur through methods such as FTP.
The management of inspection machines is mostly managed by one operator for multiple machines. If there are a large number of machines and problems or malfunctions occur, it is difficult to detect and follow up on them in a timely manner, which affects the normal operation of the production line business.
Our Solutions
Faced with the massive production line inspection data in the consumer electronics industry, Shanyan Data provides an Inspection Data Management System (IDM), which can provide an efficient and unified management platform for unstructured data such as images and logs for machine inspection equipment on multiple production lines. It helps consumer electronics manufacturing enterprises achieve efficient collection and aggregation of massive data, high-performance storage, intelligent data processing, and convenient data retrieval, effectively solving the problems of storage, management, and application of production line inspection data in the consumer electronics industry.
Customer Value
Faster manual review: 100 billion level files can be retrieved in seconds, increasing efficiency by hundreds of times
Quality traceability is more timely: data is packaged, downloaded and transmitted at high speed, and business waiting time is shorter
More precise process improvement: flexible labeling strategy, more accurate positioning of process problems, and more targeted analysis
Machine management is more worry free: with a scale of tens of thousands, automatic discovery, unified monitoring, unified deployment/upgrade, automatic data collection and upload, saving time and effort
More agile data management: automatically stratify detection data to the public cloud, store metadata in the hot layer, and achieve fast retrieval
Clearer permission management: fine-grained permission management mechanism, flexible customization according to job positions, effective data sharing, and secure isolation
Quick adaptation to multiple businesses: efficient collaboration and integration with business systems such as YMS, MES, AI analysis and re evaluation
Lower storage costs: Image compression conversion can reduce size by 90%, saving storage costs by over 60%
Work is more valuable: Automation replaces tedious labor, reducing inefficient quality/equipment management investment by 90%, and making work more focused
Less investment in operation and maintenance: Centralized operation and maintenance of 10000 level machines, reducing a large amount of on-site manpower and saving more than 30% of operation and maintenance costs
Success Stories
The storage and management of production line inspection data
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