35.020 信息技术(IT)综合 标准查询与下载
共找到 2428 条与 信息技术(IT)综合 相关的标准，共 162 页
本标准提出了政务服务区块链技术跨链接入和交互规范，主要包括跨链原则、技术、流程、监管、交互、安全等。
Government Service Blockchain Technology Cross-Linking and Interaction Specification
- ICS
- 35.020
- CCS
- S9100
- 发布
- 2024-02-20
- 实施
- 2024-03-01
Internet of Things (IoT) and digital twin - Vocabulary
- ICS
- 35.020
- CCS
- 发布
- 2024-02-20
- 实施
本文件提供了智慧计量实验室（以下简称实验室）的建设指南，包括实验室的组成、业务管理、数据管理、智能装置、客户服务。 本文件适用于计量实验室的建设、管理、运行及评价。其他类似实验室建设亦能参照实施。
Guidelines for the construction of intelligent metrology laboratory
- ICS
- 35.020
- CCS
- M751
- 发布
- 2024-02-20
- 实施
- 2024-02-21
本文件规定了检验检测数据管理数据元表示、逻辑关系、数据元目录和数据元扩展的要求。 本文件适用于检验检测数据管理数据元的构建。
Inspection and testing data management specifications data elements
- ICS
- 35.020
- CCS
- L72
- 发布
- 2024-02-06
- 实施
- 2024-03-06
本文件确立了数字孪生应用场景设计的总体原则、技术框架，规定了数字孪生应用场景的设计基本过程和分类。 本文件适用于指导数字孪生应用场景方案的设计，也可作为大数据、人工智能、物联网等领域应用场景设计的参考材料。
Design requirements for digital twin application scenarios in smart cities
- ICS
- 35.020
- CCS
- I653
- 发布
- 2024-02-05
- 实施
- 2024-02-06
本文件规定了类金融机构风险评估核心元数据的属性、描述及扩展。 本文件适用于类金融机构风险评估系统的建设、管理和维护。
Core metadata for risk assessment of quasi financial institutions
- ICS
- 35.020
- CCS
- I659
- 发布
- 2024-02-01
- 实施
- 2024-03-01
本文件规定了企业信用信息核心元数据的属性、描述及扩展。 本文件适用于企业信用信息系统的建设、管理和维护。
Core metadata of enterprise credit information
- ICS
- 35.020
- CCS
- I659
- 发布
- 2024-02-01
- 实施
- 2024-03-01
This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.
Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document provides a high-level overview of AI ethical and societal concerns. In addition, this document: — provides information in relation to principles, processes and methods in this area; — is intended for technologists, regulators, interest groups, and society at large; — is not intended to advocate for any specific set of values (value systems). This document includes an overview of International Standards that address issues arising from AI ethical and societal concerns.
Information technology — Artificial intelligence — Overview of ethical and societal concerns
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document describes: • key features of the socialized IoT systems, e.g. sensing the external physical world, resolving the uncertainties of targets, satisfying users' demand and providing quality service, etc.; • socialized attributes, i.e. socialized network, socialized collaboration, and socialized services, which are derived from the key features; and • guidelines on how to use or apply the socialized attributes in the design and development of IoT systems.
Internet of Things (IoT) — Socialized IoT system resembling human social interaction dynamics
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
Digital twin. Concepts and terminology
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
- 2024-01-31
This document establishes terminology for AI and describes concepts in the field of AI. This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders. This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).
Information technology — Artificial intelligence — Artificial intelligence concepts and terminology
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document: a) describes the general principles for data centres upon which the requirements of the ISO/IEC22237 series are based; b) defines the common aspects of data centres including terminology, parameters and reference models (functional elements and their accommodation) addressing both the size and complexity of their intended purpose; c) describes general aspects of the facilities and infrastructures required to support data centres; d) specifies a classification system, based upon the key criteria of “availability”, “security” and “energy-efficiency” over the planned lifetime of the data centre, for the provision of effective facilities and infrastructure; e) details the issues to be addressed in a business risk and operating cost analysis enabling application of the classification of the data centre; f) provides a reference to the operation and management of data centres. The following topics are outside of the scope of the ISO/IEC 22237 series: 1) the selection of information technology and network telecommunications equipment, software and associated configuration issues are outside the scope of this International Standard; 2) quantitative analysis of overall service availability resulting from multi-site data centres; 3) safety and electromagnetic compatibility (EMC) requirements (covered by other standards and regulations. However, information given in this document can be of assistance in meeting these standards and regulations).
Information technology — Data centre facilities and infrastructures — Part 1: General concepts
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document provides a collection of representative use cases of AI applications in a variety of domains.
Information technology — Artificial intelligence (AI) — Use cases
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document specifies methodologies for measuring classification performance of machine learning models, systems and algorithms.
Information technology — Artificial intelligence — Assessment of machine learning classification performance
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document addresses power supplies to, and power distribution within, data centres based upon the criteria and classifications for “availability”, “physical security” and “energy efficiency enablement” within ISO/IEC 22237‑1. This document specifies requirements and recommendations for the following: a) power supplies to data centres; b) power distribution systems to all equipment within data centres; c) telecommunications infrastructure bonding; d) lightning protection; e) devices for the measurement of the power consumption and power quality characteristics at points along the power distribution system and their integration within management tools. Safety and electromagnetic compatibility (EMC) requirements are outside the scope of this document and are covered by other standards and regulations. However, information given in this document can be of assistance in meeting these standards and regulations. Conformance of data centres to the present document is covered in Clause 4. The use of the data centre stored energy or alternate sources to be used by the grid is not in the scope of this document and is for consideration in future specifications.
Information technology — Data centre facilities and infrastructures — Part 3: Power distribution
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and their functions in the AI ecosystem. This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are implementing or using AI systems.
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
Information technology. Artificial intelligence. Guidance for AI applications
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
- 2024-01-31
This document specifies network models for IIoT connectivity and general compatibility requirements for devices and networks within IIoT systems in terms of: a) data transmission protocols interaction; b) distributed data interoperability & management; c) connectivity framework; d) connectivity transport; e) connectivity network; f) best practices and guidance to use in IIoT area.
Internet of Things (IoT) — Compatibility requirements and model for devices within industrial IoT systems
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
This document provides an overview of the state of the art of computational approaches for AI systems, by describing: a) main computational characteristics of AI systems; b) main algorithms and approaches used in AI systems, referencing use cases contained in ISO/IEC TR 24030.
Information technology — Artificial intelligence (AI) — Overview of computational approaches for AI systems
- ICS
- 35.020
- CCS
- 发布
- 2024-01-31
- 实施
