JDONE
Partner TrainingKO

AI DataOne

Scattered city data into one standard

City data integration hub.
Data of different formats and departments, such as CCTV, IoT sensors, and public institution information, is collected, purified, and stored and managed using a standard model.

underlying technology
NGSI-LD based data standardization and linkage
core strengths
Collection, purification, and integration of heterogeneous city data
How it works
Integrated management of data quality, life cycle, and rights

From data in every format
to one standard

We design a standard data model first, and connect different data sets for each institution to that model.

AI DATA ONECity data integration hub

Scattered city dataSOURCES

  • CCTV

  • IoT sensor

  • Public agency data

  • Legacy system · DB

AI DATA ONECITY DATA HUB

  1. Collect
  2. Refine
  3. Standardize
  4. Store & manage

NGSI-LDSTANDARD DATA MODEL

QualityLifecycleAccess

Standardized city dataONE STANDARD MODEL

  • Traffic
  • Environment
  • Safety
  • Facility

Where it is usedCONNECT

  • AI analytics
  • City service
  • Public system
  • API connect

CollectCCTV, IoT sensors, public agency records and legacy systems arrive in the hub in their own formats.RefineMissing values, duplicates and format errors are filtered out, and each structure is analysed.StandardizeThrough the NGSI-LD standard model, every data set takes the same entity · attribute · relation shape.ConnectTraffic, environment, safety and facility data are kept in one standard and shared by AI and city services.

표준 모델을 정의하고
기관 데이터를 연결합니다

실제 화면에서 표준 데이터 모델을 정의하고, 기관·시스템별 데이터 셋을 등록해 그 모델에 연결합니다.

AI Data One 데이터 셋 상세 화면. 기관별 데이터 셋 목록과 연결된 데이터 모델 ID가 보입니다.
STEP 02 데이터 셋 연결 — 기관·시스템별 데이터 셋을 등록하고, 1단계에서 정의한 모델에 연결합니다.
AI Data One 데이터 모델 상세 화면. 표준 데이터 모델 목록과 엔티티 정보가 보입니다.표준 데이터 모델 목록NGSI-LD Context
STEP 01 표준 데이터 모델 정의 — 엔티티와 속성을 정의해 도시 데이터의 의미와 관계를 구조로 만듭니다.

Collect, match,
Let it be used

Data in different formats are converted into a usable form by linking them to international standards.

01collection

  • CCTV
  • IoT sensors
  • public data
  • Open API

02standardization

  • Data conversion/loadingSave to standard form with adapter and interface conversion
  • NGSI-LD standard modelLinked to international standards
  • data ontologySupports AI analysis by defining meaning and relationships
  • Data quality managementAccuracy/recentness check and life cycle management

03conjugation

  • API GatewayRouting, Authentication, Load Balancing, Call Limiting
  • AI model training
  • administrative services
  • Joint utilization between departments

We operate all sections safely by applying access rights, authentication, SSO, and cloud monitoring.

Application field

  • Data standards managementIntegrate city data scattered across departments and systems into one standard system
  • Causal analysisConstructing a knowledge structure that can be analyzed by defining meaning and relationships between data
  • Use your dataUtilizing refined city data for AI model learning and administrative services
  • public data integrationJoint use of public institution data such as traffic, environment, safety, and civil complaints between departments

scattered data
Become a trustworthy asset

Improved administrative efficiency
Integrate data previously managed separately by department into one
Easy platform expansion
Flexibly link new services and data with standard APIs
Objective decision support
Realization of scientific administration based on data analysis