Innovation from point to surface: open up the whole process of intelligent manufacturing

The comprehensive change toward intelligence means that enterprises should realize the intelligence of the whole manufacturing process, which can be divided into three levels, at the management decision-making level, the PXIE-8840 ERP, SCM, CRM and other systems related to production planning, logistics, energy consumption and operation management, and the PLM system related to product design technology are put together and closely linked with the service Internet.

At the production management level, with the smart factory as the core, the production equipment and production line control, scheduling, optimization and other related functions are realized through the information physical system. From smart material supply to smart product output, through the entire product life cycle. In the production operation layer, through the Internet of Things technology, complete a variety of sensing, control, and execution tasks to achieve intelligent manufacturing, so as to achieve “super transparent, super flexible and super intelligent” full-process intelligent manufacturing.

The whole process is intelligent, which means that the PXIE-8840 amount of enterprise data continues to break out, the data types are increasingly diversified, and the construction of unified data management platform is urgent. It is necessary to use data lakes, industrial Internet and other solutions to cover and connect a wide range of data sources to provide a realistic technology realization path for agile data processing and insight improvement.

Through the data lake, any type of data can be accessed, processed, analyzed, transmitted and used in machine learning algorithms to obtain insights related to enterprise operation and tap out many capabilities that were not available before. The strategy of building a data lake has further become a necessary option for enterprises to improve their IT infrastructure. Thus, the whole process of data in the upstream and downstream of the industry and inside the enterprise is opened up, and the intelligent PXIE-8840 manufacturing is promoted to achieve industrial series from the point to the surface.

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“Data lakes have become the standard for enterprise data application innovation.” Jia Yangqing, vice president of Alibaba Group and head of Alibaba Cloud Computing Platform Division, put forward such suggestions.

The Ningde era mentioned above also understands the key role of data in intelligent production and operation. In order to change the previous model of independent data analysis for each department of factory marketing, research and development, PXIE-8840 supply, etc., Ningde is exploring how to build a data center based on the open architecture data lake solution, so as to collect and accumulate real-time data on the production line more extensively and efficiently. And break the data island caused by the traditional silo structure, so that the scattered data of various production lines and departments are fully connected, to achieve interoperability, to better meet the needs of different data scientists in different departments, but also to provide a full range of underlying resources for the construction of a more gorgeous and more modern digital twin factory, that is, the data foundation.

In addition, it looks forward to continuing to introduce a new generation of Intel-based architecture platforms, such as Xeon ® scalable processors and the Otan ™ persistent memory portfolio, to optimize the speed of the data center to further enhance data analysis and decision support capabilities.

Similarly, BOE relies on its industrial Internet architecture, utilizes technologies PXIE-8840  such as artificial intelligence and big data, especially a series of hardware and software products and technologies with excellent computing and AI acceleration capabilities, including Intel ® Xeon ® scalable processors and OpenVINO™ tool suite, to build cloud-side coordination capabilities and efficiently connect the upstream and downstream of the industrial chain. Collect, process and intelligently analyze production data to realize the interconnection of key links such as people, machines and materials in production and operation, and continuously optimize production links through the analysis and intelligent decision-making of various data in the entire production chain, so that each production can be healthy, low consumption and efficient, and also respond to sudden epidemics. The rapid recovery of production capacity provides a strong support.

This provides a valuable reference example for other manufacturing peers to flexibly respond to uncertainties brought about by rapid market changes with digital and intelligent solutions, and to improve production capacity and quality.