商用行动通讯服务设备检测

GA/T 493-2004城市警用地理信息系统建设规范

本标准原则上规定了城市警用地理信息系统的建设流程，以及各阶段的建设目标、方法、内容和应遵循的各项技术要求，用于规范警用地理信息系统的建设和管理。 本标准适用于公安系统城市警用地理信息系统全过程的建设。

JR/T 0061-2011银行卡名词术语

本标准规定了常用的银行卡名词术语,包括卡片术语、机构及人员术语、终端及设备术语、业务及应用术语、信息交换术语、安全及风险管理术语。附录A和附录B分别给出了银行卡名词术语的中文和英文索引。本标准适用于与银行卡应用相关的卡片设计、管理、发行、受理以及应用系统的研制、开发、集成和维护等相关部门(单位)。

DIN EN 16309-2014建设工程的可持续性. 建筑物社会绩效的评估. 计算方法; 德文版本EN 16309-2014+A1-2014

This document includes amendment A1. This European Standard provides the specific methods and requirements for the assessments of social performance of a building while taking into account the building's functionality and technical characteristics. This European Standard applies to all types of buildings, both new and existing. The assessment of social performance of a building, in this first generation of the standard, concentrates on measures related to a building`s occupants and other users. This European Standard is intended to support the decision making process and documentation of the assessment of the social performance of a building. In this Standard, the method of assessment of the social performance of a building is based on a life cycle approach. In this first version of the standard, the social dimension of sustainability concentrates on the assessment of aspects and impacts for the use stage of a building. The standard gives requirements for: - the description of the object of assessment; - the system boundary that applies at the building level; - the list of indicators and procedures for the application of these indicators; - the presentation of the results in reporting and communication; - the data necessary for the application of the standard, and - verification. This standard does not set the rules for how building assessment schemes may provide valuation methods. Nor does it prescribe levels, classes or benchmarks of performance. The interpretation and valuation of the results of the assessment are not within the scope of this standard. Note: pre-use and after-use stages of the building lifecycle are not covered in this first generation of standards.

DIN EN ISO 14224-2017石油、石化产品和天然气工业.设备可靠性和维修数据的采集与交换(ISO 14224-2016,修正版2016-10-01);英文版本EN ISO 14224-2016,只在CD-ROM

This International Standard provides a comprehensive basis for the collection of reliability and maintenance (RM) data in a standard format for equipment in all facilities and operations within the petroleum, natural gas and petrochemical industries during the operational life cycle of equipment. It describes data-collection principles and associated terms and definitions that constitute a \"reliability language\" that can be useful for communicating operational experience. The failure modes defined in the normative part of this International Standard can be used as a \"reliability thesaurus\" for various quantitative as well as qualitative applications. This International Standard also describes data quality control and assurance practices to provide guidance for the user. Standardization of data-collection practices facilitates the exchange of information between parties, e. g. plants, owners, manufacturers and contractors. This International Standard establishes requirements that any in-house or commercially available RM data system is required to meet when designed for RM data exchange. Examples, guidelines and principles for the exchange and merging of such RM data are addressed. This standard also provides framework and guideline for establishing performance objectives and requirements for equipment reliability and availability performance. Annex A contains a summary of equipment that is covered by this International Standard. - This International Standard recommends a minimum amount of data that is required to be collected and it focuses on two main issues: - data requirements for the categories of data to be collected for use in various analysis methodologies; - standardized data format to facilitate the exchange of reliability and maintenance data between plants, owners, manufacturers and contractors. The following main categories of data are to be collected: - equipment data, e. g. equipment taxonomy, equipment attributes; - failure data, e. g. failure cause,