GB/T 36625.1-2018Smart city—Data fusion—Part 1: Conceptual model (English PDF)

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.

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 document. 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.

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;