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AI & AX

Solutions

Use Cases

Company

N2M’s AI & AX speaks through the sites we have designed, built and run

130,775 expressway sensors, a city testbed, secured-site manholes, a metropolitan status board. Capabilities that come from systems still running today.

Stage 01 → 02 → 03

Smart cities

Solving urban problems with data since 2015 — now at the stage of standard integration and digital twins.

IoT dashboard showing smart city device locations and service status on a satellite map
In operation · Smart city device status (Goyang)
Goyang City

IoT convergence testbed

Eight citizen services built and operated on an open smart city platform.

Services delivered

  • Smart park environment
  • Smart living environment
  • Smart ecological environment
  • Smart waste collection
  • Safe parking
  • Smart disinfection for collection sites
  • Multi-sensor street lighting
  • Smart bike sharing

Scope · specifications

  • oneM2M open smart city platform roll-out · device and service monitoring dashboards
  • Open data system and smart city website · testbed support centre for IoT companies
  • Related-data collection module (policies, data management, logs) · REST API management
Standards-based city service model

Sustainable smart city decision support

A platform that builds sustainable smart city models from standards-based data and performance indicators.

Components

  • Data hub (user portal)
  • Goal-oriented verification (standard KPIs)
  • Data core — integration, models, lifecycle, quality
  • Decision-support data marts and data lake

Scope · specifications

  • Local government systems · National Disaster Management System · Public Data Portal
  • Statistics Korea · local 119 safety centres · Korea Meteorological Administration
  • Internal links (CCTV, village broadcast, integrated platform) — REST API / ESB / Open API
Stage 01 → 02

National infrastructure

Sensors at national-backbone scale, run on a single international standard.

IoT monitoring screen showing expressway facility sensor status and events on a map
In operation · Expressway facilities IoT monitoring
Expressway facilities

Standards-based integrated IoT platform

All expressway facilities managed on one oneM2M standard — tunnels, power, bridges, vehicles and de-icing arrive in the same format.

130,775Connected sensors · tunnels · power · rest areas · bridges · vehicles · slopes · de-icing

Platform

  • Facility information · sensor and collected data
  • Incident prediction and analysis · statistical reports
  • Disaster prediction and real-time monitoring · hazard history
  • GIS-based precise location and dashboards

Scope · specifications

  • oneM2M IoT platform (nTomIoT) — PaaS · Kubernetes scale-out (pods)
  • Protocol adapters: BACnet / CoAP / MQTT / Modbus / http / LoRa / LTE
  • Dedicated IoT networks (LTE · LoRa) · integration · message queue · processing · notification
Stage 01 → 03

Industrial safety & facilities

We watch over spaces where accidents are hard to undo — underground manholes, secured zones, data centres.

Control screen showing manhole locations with toxic gas and fire alarms on a map
In operation · Manhole monitoring IoT service
Safety and security

Manhole monitoring IoT service

Collects and monitors toxic gas, water level and lid status in real time, so risk can be assessed before anyone enters.

Monitored

  • Fire and smoke
  • Water level · temperature and humidity
  • Toxic gas (CO · CO₂ · CH₄ · H₂S)
  • Oxygen level
  • Inner and outer lid opening
  • Door opening

Scope · specifications

  • Sensor operations overview per manhole and facility · event lists
  • Network server and gateway status (IoT gateway ↔ network server)
  • GIS-based real-time manhole status — sensor state, event time, alarms by state
  • Sensor chamber: inner/outer lid, water level, gas sensors, antenna
Secured zones (CIQ)

Digital twin access control

Doors and locks placed in 3D space — seen as space, not floor plans.

Components

  • Distributed computing on edge devices
  • EM-lock and beacon sensor node control
  • Embedded firmware for edge devices
  • oneM2M-based digital twin dashboard

Scope · specifications

  • Edge GW ↔ IoT platform (MQTT) · data transport · queue · main service · WebSocket
  • Admin: login · statistics · history · control points · TTA monitoring
Buildings · bus shelters · data centres

Facility operations

Integrated IoT operations controlled from one screen, whatever the vendor or protocol.

Building energy

  • HVAC control (BACnet — DDC, pumps, cooling towers, chillers, AHUs)
  • Power and lighting (Modbus — smart meters, ESS, dimming) · integrated energy control
  • IBS (access control, CCTV, parking, fire safety, lifts, PA)
  • Renewables (solar, wind, geothermal, fuel cells) · redundant servers

Bus shelters

  • Shelter edge GW ↔ RS485 ↔ air conditioning (Modbus) and ventilation
  • Map-based status and control per shelter · schedules

Data centres

  • IT asset and operations management (servers, storage, network, faults)
  • Floor layouts, rack and storage placement, per-rack server status
  • Incidents and actions · maintenance and planned outages
Stage 02 → 03

Public decisions & health

Experience building the screens that public leaders actually use to decide.

Daegu digital city status board combining live city conditions, finances and public sentiment
In operation · Daegu digital city status board
Daegu Metropolitan City

Public decision support system

A big data city status board supporting evidence-based policy decisions.

Screens

  • Live city status — traffic, air, water, video; finance and prices; foot traffic; safety and economy maps
  • Disaster and safety — infectious disease, disasters, fires, earthquakes; GIS and 119 rescue activity
  • Key policies and pledges — progress, budget and completion rates
  • Public sentiment — news monitoring and civil complaint analysis

Data domains

  • Health · administration · culture and tourism · industry and economy · welfare · environment
  • Transport · urban management · education · safety · population · housing
KDCA · export model

Intelligent epidemiological investigation

Epidemiological investigation with minimal staff, extended overseas as a K-quarantine ICT package.

System

  • Intelligent investigation structure and functions
  • Operations management
  • Minimised staff and cost for large case volumes
  • Multi-disease support and large-scale response

Export

  • Integrated K-quarantine ICT package with control system
  • Configurable packages for local conditions
  • Multilingual UI/UX · global map solution
  • Patent: epidemiological investigation support system and method

Intelligent sensor optimisation platform

Automatic optimisation across the whole cycle, from sensor to AI model, overcomes the prediction limits of intelligent sensors running on constrained resources.

  • Radar · Material Recognition

    Radar-based material recognition

    Material recognition profiles for connected radar sensors using machine learning

    • Radar sensing, preprocessing and ML model optimised together
    • 97.13% achieved against an 85% target
    • Published in IEEE Sensors Journal (2024)
  • Low-cost Multi-sensor

    Higher precision from low-cost sensors

    Better precision and fault detection for multiple low-cost environmental sensors (fine dust monitors)

    • Joint calibration of PM, temperature, humidity, wind speed and CO
    • Calibration and correction scenarios for low-cost sensors
    • Optimal sensor parameters derived automatically

Responsible for a similar site?

Where conditions overlap, we will tell you exactly how we solved it before.

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