T/CES 229-2023 Active Group standards

T/CES 229-2023 Electricity Artificial Intelligence Integrated System Design Specification for Memory and Computing

Publish Date: 2023-10-19 Implement Date: 2023-10-20 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/CES 229-2023

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2023-10-19

Implement Date: 2023-10-20

Scope

Scope: This document specifies the framework and technical requirements of the integrated sensing, storage, and computing system for power artificial intelligence (AI). This document is applicable to the design and development of integrated sensing, storage, and computing systems for power applications, including power generation, transmission, substation, distribution, and electricity consumption. Main technical content: With the development of new applications such as the ubiquitous power Internet of Things and edge computing, the scale and number of power AI models have increased dramatically, and the requirements for data collection, storage, and processing in various application scenarios continue to rise. As "Moore's Law" slows down or even stops, the computing system based on the von Neumann architecture can no longer meet the computing power demands of AI and other applications. Integrated sensing, storage, and computing technology, with its ultra-high computing power and energy efficiency ratio, is a more suitable architecture for AI computing than the von Neumann architecture. It is predicted by AspenCore to be one of the top ten technology trends in the global semiconductor industry in 2022. "Integrated sensing, storage, and computing" adds sensing to integrated sensing, storage, and computing. This architecture integrates sensing, storage, and computing, solves the power consumption bottleneck of data transfer in the von Neumann architecture, and enhances overall efficiency by combining with sensing. Currently, power AI integrated sensing, storage, and computing systems are characterized by complexity, diversity, and cross-field applications. There are no relevant standards for power AI integrated sensing, storage, and computing systems in China or abroad. The lag or even absence of standards has become a key issue restricting the development of integrated sensing, storage, and computing systems, to some extent limiting the expansion of system dev