GB/T 36625.1-2018 English PDF

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GB/T 36625.1-2018: Smart city -- Data fusion -- Part 1: Conceptual model
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Basic data

Standard ID: GB/T 36625.1-2018 (GB/T36625.1-2018)
Description (Translated English): Smart city -- Data fusion -- Part 1: Conceptual model
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L70
Classification of International Standard: 01.040.35
Word Count Estimation: 10,115
Date of Issue: 2018-10-10
Date of Implementation: 2019-05-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 36625.1-2018: Smart city -- Data fusion -- Part 1: Conceptual model

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
(Smart City Data Fusion Part 1. Conceptual Model) ICS 01.040.35 L70 National Standards of People's Republic of China Smart city data fusion Part 1. Conceptual model Smartcity-Datafusion-Part 1. Conceptualmodel Published on.2018-10-10 2019-05-01 implementation State market supervision and administration China National Standardization Administration issued

Content

Foreword III 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Overview 1 5 Data Assets 3 5.1 Overview 3 5.2 Encoding Rules 3 5.3 Data Elements 3 5.4 Lifecycle Management 3 6 Data Acquisition 3 6.1 Overview 3 6.2 Data Cleaning 3 6.3 Data Conversion 3 6.4 Quality Assurance 3 7 Data Description 4 7.1 Overview 4 7.2 Data Source 4 7.3 Data Mode 4 7.4 Unstructured Data Source Representation Specification 4 8 data organization 4 8.1 Overview 4 8.2 Classification System 4 8.3 Tag Library 5 8.4 Glossary 5 9 Data Exchange and Sharing 5 9.1 Overview 5 9.2 Exchange Sharing Platform 5 9.3 Analysis Model 5 10 data service 5 10.1 Overview 5 10.2 Data Retrieval 5 10.3 Data Display 5 11 Open Sharing Requirements 5 11.1 Overview 5 11.2 Business Needs 6 11.3 Technical requirements 6

Foreword

GB/T 36625 "Smart City Data Fusion" is divided into five parts. --- Part 1. Conceptual model; --- Part 2. Data coding specifications; --- Part 3. Data collection specifications; --- Part 4. Open sharing requirements; --- Part 5. Basic data elements of municipal facilities. This part is the first part of GB/T 36625. This part is drafted in accordance with the rules given in GB/T 1.1-2009. Please note that some of the contents of this document may involve patents. The issuing organization of this document is not responsible for identifying these patents. This part is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28). This section drafted by. Beijing University of Aeronautics and Astronautics, Shenzhen Huaao Data Technology Co., Ltd., China Electronics Technology Standardization Institute, China Electronics Technology Group Corporation Information Science Research Institute, Huawei Technologies Co., Ltd., Shenzhen Saixi Information Technology Co., Ltd., Wisdom Shenzhou (North Jing) Technology Co., Ltd., ZTE Corporation, Xunfei Zhiyuan Information Technology Co., Ltd., Datang Software Technology Co., Ltd. China Information and Communication Research Institute, Zhongcheng Wisdom (Beijing) Urban Planning and Design Institute Co., Ltd., Shenzhen Qianfang Hangshi Technology Co., Ltd. Beijing Institute of Computer Technology and Applications, Shanghai Computer Software Technology Development Center, Shanghai Jiaotong University. The main drafters of this section. Lv Weifeng, Pu Juhua, Du Bowen, Liu Yuli, Zhang Hongwei, Jia Xibei, Yu Wenyuan, Li Junmao, Zhao Jinghua, Rong Wenge, Kang Zilu, Cui Wei, Li Wei, Qin Yonghui, Wang Qi, Su Ping, Zhang Qiaoying, Yuan Yuan, Shi Yuan, Liang Yong, Yan Lei, Wang Xinxin, Wan Biyu, Wu Lili, Liu Tianping, Liu Weilin, Wang Yuanhong, Liu Zhenyu, Yao Bin, Yang Lei, Chen Weiquan. Smart city data fusion Part 1. Conceptual model

1 Scope

This part of GB/T 36625 specifies the conceptual model, overall requirements, basic processes and data collection, number of smart city data fusion. According to the basic requirements of description, data organization, data exchange and sharing. This section applies to data fusion practices in smart cities.

2 Normative references

The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article. Pieces. For undated references, the latest edition (including all amendments) applies to this document. GB/T 32909-2016 Unstructured data representation specification

3 Terms and definitions

The following terms and definitions apply to this document. 3.1 Data fusion A process of integrating multiple data sources to produce more valuable information than any single data source. 3.2 Metadata Describe the data of the data.

4 Overview

In the scenario of a smart city, by collecting and aggregating different types and different sources of data, sequentially through data description, data organization and number According to the three processes of exchange and sharing, the functions of data fusion are realized, and finally the functions of data retrieval and display are provided through the data service. The conceptual model of smart city data fusion is shown in Figure 1. The arrow connected to the data asset in Figure 1 indicates the flow of data, and the rest of the arrows The header represents the flow of data fusion. According to Figure 1, the data fusion conceptual model includes data collection, data description, data organization, data exchange and sharing, and data services. Partial and data assets, open sharing requires two supporting elements. The functional positioning of each part is described as follows. a) Data collection. collecting and cleaning data of different types and different sources; b) Data description. abstract and represent entities and relationships in the data source; c) Data organization. categorize data by relying on classification systems; d) Data exchange and sharing. increase the value of data through the exchange and sharing of data; e) Data services. external data retrieval and display functions; f) Data assets. Data assets contain data and other information generated by data in data fusion, which is the data and information in the above process. Acquire, store and manage objects and participate in the entire data fusion process; ......

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