With the accelerated evolution of digitalization, the application of new technologies, and changes in business scenarios, enterprise data has experienced explosive growth. In the production process of high-tech manufacturing industries such as photovoltaics, semiconductors, and PCBs, due to the continuous improvement of production capacity and technological iteration of quality control, a massive amount of manufacturing data surrounding production, processing, and quality is continuously generated. In order to solve the problem of enterprise data storage, SIE Information and Shenxin EDS have joined forces to provide an integrated SMOM&EDS distributed storage joint solution for enterprises, and work together to create the optimal solution for the acquisition, storage, query, deletion and use of production process data.
Production line data governance
Faced with multiple difficulties
Traditional production line data governance has many pain points. In high-precision and cutting-edge fields such as semiconductors, photovoltaics, and electronics, large manufacturing industries accumulate TB of new data every day. Faced with massive data, existing production line storage solutions generally focus on selecting high-capacity hard drives, disk array storage, Windows Server FTP/SMB, etc. However, traditional production line storage solutions still face multiple problems in storage, performance, and cost.
Difficulty in reading: difficulty in retrieving and tracing data as production capacity increases
Traditional storage solutions use hardware memory caching and single point architecture, which have poor processing capabilities for billions of small files. Faced with massive amounts of data ranging from millions to tens of millions, and even billions, the lack of scalability in local file systems and single point pipeline management of metadata can result in long data query times and affect the quality inspection department's retrieval and traceability of production data.
'Cannot store': Insufficient storage space, inefficient manual data processing
In traditional storage solutions, IT departments use high-capacity disks for data management. Due to limited disk space, it is necessary to move around and the operation is complicated, which can easily lead to problems such as data deletion and inability to find data. The traditional storage solution has low operational efficiency and frequent data security risks, which cannot truly realize the cost reduction and efficiency improvement concept of intelligent manufacturing and achieve efficient operation and maintenance.
High cost: The long-term storage cost of massive data remains high
According to industry compliance requirements, spare parts production suppliers need to store production process data based on the product lifecycle time, ranging from a few months to up to 15 years. If enterprises want to meet storage needs such as large capacity, high reliability, and high performance, the investment cost is very high, and it is difficult for enterprises to afford the high cost of disk array expansion and replacement.
SIE X Convinced EDS
Release high-energy power
SIE and Shenxinfu have ecological cooperation to create an integrated SMOM&EDS distributed storage joint solution. Both parties have jointly developed the optimal solution for data governance around a series of pain points related to the long-term storage of massive data in the manufacturing industry. The aim is to help manufacturing enterprises provide an end-to-end solution from production and manufacturing quality management to the management of underlying high-capacity storage resources.
This joint solution can achieve deep adaptation and compatibility for commonly used manufacturing system software such as upper level MES and QME, better meeting the data lifecycle management work of users' production data storage, retrieval, query, deletion, etc., allowing users to better cope with manufacturing production scenarios such as building MES, quality improvement, and upgrading quality inspection from manual to AOI. Based on the joint scheme, users can reduce the implementation cost of compatibility verification and lower the selection cost in actual use.
In the future, SIE Information will continue to deepen its efforts in the field of intelligent manufacturing, constantly optimize its own business capabilities, provide users in the industry with digital solutions for a one-stop platform for management and analysis of operational data, and help enterprises operate and manage efficiently.
