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Intelligent Asset Management for Transport & Rail

Real-time asset intelligence for transport authorities, rail operators and infrastructure owners, from a remote rail corridor to a metropolitan station, tunnel or bridge.

Wireless, no trackside cabling
Works in tunnels and stations
IP67 industrial-grade

Australian-owned systems integrator, deployed across critical infrastructure since 2015.

Regional Australian rail corridor at golden hour with a lineside signalling cabinet and communications mast, overlaid with a subtle teal telemetry data line along the track
What we deliver

End-to-end intelligent asset management for transport and rail

Industrial-grade sensors

Industrial-grade IoT sensors for fixed and mobile assets.

Wireless connectivity

Private and carrier-grade LoRaWAN® connectivity.

Real-time dashboards

Secure real-time dashboards, reporting and alerting.

GIS and Digital Twin

GIS and Digital Twin integration.

Enterprise integration

Integration with EAM, CMMS, ERP, SCADA, traffic management and BI platforms.

AI condition monitoring

AI-enabled condition monitoring and predictive maintenance.

We provide complete, end-to-end intelligent asset management solutions, proven in some of Australia's most demanding transport, mining, industrial and critical infrastructure environments.

How it works

From a sensor to an operational decision

Five steps take raw condition data from track, signalling, rolling stock and structures through to operational decision support, built to bolt onto the systems you already run.

1

Deploy

Industrial-grade IoT sensors are installed on fixed and mobile transport assets, from rail track, bridges and signalling to rolling stock, pumps and power infrastructure.

2

Connect

Long-range, low-power wireless connectivity over LoRaWAN® links remote and hard-to-reach assets across corridors, tunnels and stations, without extensive cabling.

3

Capture

Continuous condition, environmental and performance data is collected from distributed assets, including temperature, vibration, pressure and structural movement.

4

Predict

AI-enabled condition monitoring and predictive maintenance flag asset fatigue and emerging faults before they become failures.

5

Integrate

Operational data flows into your Asset Management, CMMS, ERP, SCADA, GIS and BI systems to support real-time operational decisions.

Field engineer with a tablet beside a trackside signalling cabinet carrying a generic wireless sensor node, with a subtle teal wireless signal overlay
A generic wireless sensor node on a trackside cabinet, streaming condition data with no fixed cabling.
How we connect

Wireless connectivity for remote and hard-to-reach assets

Meshed uses industrial-grade LoRaWAN® networks to securely collect real-time data from remote and difficult-to-access assets across transport, rail and critical infrastructure environments. Combining long-range, low-power wireless sensing with cellular or satellite backhaul, our solutions deliver reliable connectivity without the cost and complexity of extensive cabling or high-bandwidth communications.

Designed for distributed infrastructure, LoRaWAN® enables battery-powered sensors to continuously monitor asset condition, environmental factors and operational performance across large geographic areas. The data integrates seamlessly with existing SCADA, GIS, asset management and enterprise systems, providing a scalable sensing layer that enhances, not replaces, existing operational technologies.

Long battery life
5 to 10+ years possible.
Deep indoor penetration
Works in tunnels and stations.
Low infrastructure cost
Ideal for distributed assets.
Private or public networks
Flexible deployment.
Massive device scalability
Thousands of sensors per city.
Secure encryption
Transport-grade security.
Where we monitor

Real-time monitoring across the assets that keep the network moving

Meshed solutions continuously monitor the condition and performance of critical transport assets, from rail track and signalling through to rolling stock, tunnels and remote corridors.

Asset or use caseWhat we monitorBusiness value
Track, bridges & structuresVibration, tilt, strain, corrosion and temperature monitoring of rail infrastructureImprove safety, extend asset life and enable predictive maintenance
Points, crossings & signallingPosition, vibration, motor current, environmental and power monitoringIncrease network reliability and reduce service disruptions
Rolling stock & freight assetsWheel bearings, brakes, engines, compressors, vibration, temperature and wagon trackingReduce unplanned failures and optimise fleet utilisation
Remote rail corridorsLow-power LoRaWAN® monitoring of assets across remote rail networksReduce inspections, improve visibility and lower operating costs
Electrical & power infrastructureVoltage, battery, cabinet temperature, humidity and power quality monitoringImprove resilience of critical operational systems
Water, flooding & corrosionLeak detection, water level, humidity and corrosion monitoringProtect critical infrastructure and minimise asset deterioration
Tunnels & critical infrastructureAir quality, temperature, ventilation, noise and environmental monitoringImprove worker safety, regulatory compliance and operational resilience
Security & asset protectionDoor, motion, proximity and intrusion detectionProtect critical assets and improve incident response
Condition-based maintenanceMulti-sensor monitoring with AI-driven analyticsShift from reactive to predictive maintenance and optimise asset lifecycles
Integrated digital asset intelligenceIoT, GIS and Digital Twin integration with enterprise systemsReal-time operational visibility, risk-based planning and smarter investment decisions

Built for a wide range of transport environments

Heavy haul and freight rail
Passenger rail, metro and light rail
Bus depots, interchanges and transport hubs
Ferry terminals and maritime infrastructure
Airports and aviation precincts
Ports and export terminals
Roads, tunnels and bridges
Regional and remote transport corridors
Steel railway rail receding to the horizon with a generic wireless sensor node bolted to the rail, traced by a single teal data line, the no-cabling condition monitoring evidence
Why Meshed

One operational view, instead of systems that work in isolation

Unlike traditional monitoring systems that operate in isolation, Meshed connects sensors, infrastructure and enterprise systems into a single operational view. By combining real-time condition monitoring with predictive analytics and spatial intelligence, transport operators can act on what matters.

  • Improve asset reliability and network availability
  • Reduce unplanned failures and maintenance costs
  • Extend infrastructure life
  • Improve worker and public safety
  • Prioritise maintenance using real-time condition data
  • Optimise capital investment through evidence-based asset intelligence
  • Enable smarter, more resilient transport networks
The platform

See asset condition the moment it changes

The Meshed Asset Intelligence Platform turns real-time sensor data into a single, secure view of asset health, environmental conditions and operational performance across distributed transport networks.

Live Meshed dashboard showing vibration and machine condition monitoring with velocity, peak and RMS acceleration and threshold bands across rail and rotating assets
Live condition and vibration monitoring across rail and rotating assets, the real Meshed platform.
Key capabilities

What the platform delivers

  • Unified asset dashboards with multi-sensor monitoring
  • Real-time GIS mapping and spatial asset visualisation
  • Historical trend analysis and performance reporting
  • Occupancy, utilisation and footfall analytics
  • Configurable alerts for temperature, vibration, pressure, water level and other critical thresholds
  • Exception, compliance and SLA reporting
  • Automated maintenance notifications and workflow integration
  • Secure APIs for enterprise system integration
AI-ready predictive analytics

From reactive to predictive

Meshed delivers the high-quality, real-time operational data required to power machine learning and AI. By combining long-term historical datasets with continuous condition monitoring, organisations can move from reactive maintenance to predictive, risk-based asset management.

  • Predictive maintenance and asset health monitoring
  • Early failure detection and anomaly identification
  • Infrastructure risk scoring
  • Passenger demand and utilisation forecasting
  • Asset lifecycle optimisation
  • Capital investment planning based on real-world asset performance
People counting

Passenger flow, without the personal data

The Meshed nCounter gives transport operators real-time passenger utilisation across rail, tram, bus and ferry networks. It is anonymous and non-vision-based, counting how people move through stations, terminals and hubs without capturing personal information, and it runs over the same wireless network as your asset sensors.

Non-vision-based
Fully anonymous
Wireless and battery-powered
Why People Counting Matters, the Meshed people counting white paper
Proven in the field

Meshed delivers real-time asset intelligence across transport, rail and critical infrastructure, from contested metropolitan precincts to remote regional rail and port networks.

100+
IoT sensors across a single high-activity precinct
6-month
continuous, fully anonymised precinct pilot
3
regional ports monitored, wharf to rail
Case study · Transport Activation Hub

A real-time view of a contested transport precinct

A major transport authority and metropolitan council deployed more than 100 IoT sensors across a high-activity precinct, including nCounter people counting devices, smart parking sensors and urban heat monitors. Over a six-month pilot, the network delivered continuous, fully anonymised movement and dwell data.

The result was a real-time view of how contested kerbside and public-realm assets were actually used, supporting improved allocation, safer pedestrian and cyclist movement, better network performance and data-driven planning.

Metropolitan transport-precinct public realm with a wireless sensor node on a pole and teal movement-flow lines tracing anonymised pedestrian activity across the paving
Anonymised movement and dwell data across a high-activity precinct, captured without vision-based hardware.
Case study · Port rail infrastructure

Rail stress and gauge monitoring at a Western Australian port

A leading Western Australian port authority, operating across three regional ports, embedded real-time data intelligence into its asset management strategy, integrating industrial IoT sensors, GIS and digital twin technologies.

Meshed's industrial-grade sensors now monitor rail gauge temperature and stress, wharf pier corrosion, and rotating equipment across wharf and rail infrastructure, protecting the long-term integrity of assets that underpin the state's export economy.

Steel railway rail with a generic wireless sensor node mounted on it, traced by a teal data line, rail stress and gauge condition monitoring
Rail-mounted condition sensors stream stress, vibration and temperature data with no trackside cabling.
Live Meshed rail strain and gauge monitoring dashboard showing rail load, rail strain, track gauge, rail temperature, battery voltage and LoRaWAN packet telemetry from a single rail sensor
Live rail load, strain, track gauge and temperature from a single rail sensor, the real Meshed platform.

Build a smarter, safer and more resilient transport network with Meshed

Gain real-time visibility of your critical infrastructure, detect issues before they become failures and empower your teams with the asset intelligence needed to improve safety, optimise maintenance and make better operational and investment decisions.