Business Areas

Big Data & AI

ENJOY BEST TECHNOLOGIES BIGDATA AI

Based on our proprietary IoT platform solutions, we collect, store, and manage big data while developing and analyzing platforms for a wide range of business systems to deliver meaningful insights. Our services support the management, processing, and analysis of large-scale data, and provide advanced big data analytics capabilities—including machine learning and deep learning—leveraging massive datasets and high-performance computing technologies.

Intelligent Air Pollutant Management and Prediction System

IoT sensor network infrastructure using cost-effective sensors Real-time air pollutant monitoring services Baseline data construction for air pollutant analysis Intelligent, spatial-based air pollutant analysis services Environmental monitoring support and vulnerable area analysis

This system supports environmental monitoring operations related to illegal air pollutant emissions based on GIS technology. It provides policy-supporting insights through the identification and analysis of vulnerable areas, delivers real-time public air quality monitoring services, and offers disaster information services through emission-incident analysis and damage risk assessment.

  • Target system architecture for the intelligent air pollutant management and prediction system
  • Real-time air pollutant monitoring service
  • Air pollutant concentration map analysis and prediction service
  • Analysis service for air pollution–vulnerable areas
  • Air quality forecasting service

AI-Based Subsurface Environmental Pollution Prediction and Management System

IoT sensor network infrastructure for subsurface environmental pollution Real-time subsurface pollution monitoring services AI-based analysis and prediction of subsurface pollution Subsurface pollution diffusion scenario services Decision-support services for subsurface environmental management Integration and construction of observation and spatial information databases

Utilizing IoT sensors and platform technologies for subsurface environmental pollution, this system supports real-time monitoring operations and delivers vulnerability analysis and decision-support services through AI-driven situation prediction based on a big data platform.

  • Target architecture of the intelligent subsurface pollution prediction and management system
  • Soil and water quality data integration guidance service
  • Real-time soil and water quality monitoring service
  • Machine learning–based water pollution prediction analysis
  • Machine learning–based soil pollution prediction analysis

Environmental Health Monitoring System and Preventive Management Technology Development

Integrated and standardized environmental health big data database Environmental health risk maps and monitoring services Environmental health policy inventory construction and inquiry Regional environmental health surveillance services GIS-based environmental hazard factor analysis AI machine learning–based environmental health factor prediction

This project designs and implements an environmental health surveillance system to monitor and evaluate health impacts in vulnerable regions. It secures regional health impact monitoring frameworks and develops a big data–driven, AI-based environmental health surveillance system utilizing machine learning models for health impact assessment.

  • Development of environmental health surveillance and regional monitoring systems
  • Spatial information–based environmental health factor inquiry service
  • Spatiotemporal analysis model for environmental health factors
  • Machine learning–based environmental health prediction system
  • Environmental health index and policy inventory inquiry service

Gyeonggi-do Agricultural Water Supply Analysis and Drought Risk Prediction System

Provision of data from 11 meteorological observation stations in Gyeonggi-do Reservoir storage status information for agricultural use Water level and discharge data for dams, rivers, and weirs Drought analysis and prediction services across Gyeonggi-do Crop selection services based on farmland classification Drought analysis results based on short-term weather forecasts

This integrated system analyzes and predicts agricultural water supply conditions and drought risks based on meteorological and water resource data, supporting the creation of a stable and sustainable agricultural environment.

  • Real-time meteorological observation data from Gyeonggi-do stations
  • Drought analysis and prediction services across Gyeonggi-do
  • Crop selection services for owned or designated farmland
  • Drought analysis services based on short-term weather forecasts