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GA/T 493-2004城市警用地理信息系統建設規范

本標準原則上規定了城市警用地理信息系統的建設流程，以及各階段的建設目標、方法、內容和應遵循的各項技術要求，用于規范警用地理信息系統的建設和管理。 本標準適用于公安系統城市警用地理信息系統全過程的建設。

JR/T 0061-2011銀行卡名詞術語

本標準規定了常用的銀行卡名詞術語,包括卡片術語、機構及人員術語、終端及設備術語、業務及應用術語、信息交換術語、安全及風險管理術語。附錄A和附錄B分別給出了銀行卡名詞術語的中文和英文索引。本標準適用于與銀行卡應用相關的卡片設計、管理、發行、受理以及應用系統的研制、開發、集成和維護等相關部門(單位)。

DIN EN 16309-2014建設工程的可持續性. 建筑物社會績效的評估. 計算方法; 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、石化產品和天然氣工業.設備可靠性和維修數據的采集與交換(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,