TTI Group

Reference Projects

A selection of reference projects delivered by the partner companies within the Technology Through Innovation (TTI) network.

IIoT Monitoring Systems

Real-time condition monitoring solutions for industrial, transport, and automation systems

IIoT-ATPMS

Automatic Tyre Pressure Monitoring System

Continuous monitoring of tyre pressure and temperature for early detection of air loss, overheating, and mechanical issues in critical transport systems such as cable cars, amusement rides, and industrial conveyors.

Key features:

Pressure & temperature monitoring • Industrial-grade sensors • SCADA visualization • Real-time alarms • Local & remote access

Prototype

Industries:

Cable Cars • Amusement Rides • Industrial Transport

Technical details
The IIoT-ATPMS system is designed for continuous monitoring of large groups of wheels and pneumatic systems, providing both real-time and historical analysis of pressure and temperature behavior.

It enables early detection of air loss or overheating, allowing preventive maintenance actions before critical failures occur.

Typical applications:
• Cable cars with automatic coupling systems
• Amusement rides and transport systems
• Industrial conveyor systems with pneumatic stabilization

Data acquisition is performed via field antennas communicating over RS485/RS232 or Ethernet (PoE), with flexible deployment options including local servers or remote SCADA systems.

IIoT Condition Monitoring (- IIoT-VMS?)

Vibration, Temperature & System Health Monitoring

High-resolution monitoring of vibration, temperature, and operational parameters across distributed systems. Enables early fault detection, predictive maintenance, and detailed system analysis through centralized data processing.

Key features:

Multi-sensor integration • Flexible communication (LTE, Wi-Fi, fiber) • Central data processing • Real-time alerts • SCADA visualization

Field tested

Industries:

Rail Systems • APM • Industrial Plants • Airport Infrastructure

Technical details
The IIoT Condition Monitoring solution is designed for continuous supervision of critical system parameters across distributed industrial and transport environments.

The system integrates multiple sensor types, including vibration, temperature, liquid flow, power, and other process-related signals, depending on the application requirements.

Data acquisition can be performed locally or across distributed networks, with communication via LTE, Wi-Fi, optical fibre, or existing infrastructure. A central data collector or server processes incoming data streams, enabling real-time monitoring, alarm handling, and long-term trend analysis.

The platform supports SCADA-based visualization and can be extended for predictive maintenance applications by identifying deviations, recurring patterns, and early indicators of component wear or malfunction.

APM & Airport Monitoring Systems

Specialized Monitoring for Automated Transport & Airport Infrastructure

Monitoring solutions for Automated People Movers (APM) and airport systems, including vibration analysis, thermal monitoring, and AI-based structural inspection for predictive maintenance and operational safety.

Key features:

Vibration monitoring • Thermal analysis • AI crack detection • MQTT/cloud integration • High-speed data acquisition

Concept

Industries:

Airports • Automated People Movers (APM) • Transport Systems • Industrial Automation

Technical details
This project group includes a range of monitoring and proof-of-concept solutions developed for Automated People Movers (APM) and airport infrastructure, focusing on system reliability, safety, and predictive maintenance.

The solutions cover both onboard and trackside monitoring, combining multiple sensing technologies and data acquisition systems to provide comprehensive system insight.

Key applications include:
• Trackside vibration monitoring of structural elements (e.g. guideway poles)
• Thermal monitoring of drive systems, tyres, and moving mechanical components
• Monitoring of pantograph systems and power collection elements
• AI-based inspection of structural components (e.g. crack detection in concrete)
• Onboard systems such as dynamic route mapping and passenger information displays

Additional developments include monitoring solutions for aircraft loading bridges (ALB), PCA systems, and apron equipment, supporting both fixed installations and mobile measurement setups.

Depending on the application, data can be processed locally or transmitted to centralized or cloud-based platforms for visualization, analysis, and predictive maintenance planning.

Wireless Power & Data Transmission (WAPDT)

Contactless Power Supply & Data Communication

Wireless system enabling power supply and data transmission to remote or rotating units without physical electrical connections or onboard batteries.

Key features:

Wireless power transmission • Contactless data communication • No onboard power required • Low maintenance • High reliability

Concept

Industries:

Transport Systems • Industrial Automation • Special Applications

Technical details
The WAPDT system is based on dual-channel radio-frequency induction technology, enabling both power transmission and data communication without physical electrical connections.

It allows remote units to operate without onboard batteries or wired power supply, significantly reducing maintenance requirements and improving system reliability.

The system can activate and control remote sensor units and retrieve their data, making it particularly suitable for applications involving rotating, moving, or difficult-to-access components.

This technology enables new possibilities for monitoring and control in environments where traditional wiring is impractical or impossible.

Smart Ropeway & Cabin Systems

Advanced monitoring, control, and safety solutions for ropeway and cabin-based transport systems

Intelligent Cabin System (IIoT-IC)

Smart Monitoring & Control for Ropeway Cabins

Low-power monitoring and control system for ropeway cabins, enabling real-time supervision of cabin status, passenger presence, environmental conditions, and onboard systems.

Key features:

Cabin status monitoring • Passenger detection • Battery & system supervision • Automated lighting control • Low-power communication

Concept

Industries:

Cable Cars • Ropeways • Automated Transport Systems

Technical details
The Intelligent Cabin System is designed as a low-power embedded solution for monitoring and controlling the technical state of ropeway cabins.

The system can monitor internal cabin conditions such as temperature, battery status, electrical contacts, and system activity. It also supports passenger presence detection and enables automated or scheduled activation of cabin lighting based on environmental conditions or predefined logic.

Communication is typically implemented using low-power wireless technologies such as LoRaWAN or similar systems, allowing efficient data transmission over long distances with minimal energy consumption.

The system can be extended with additional functionalities such as onboard communication and advertising systems, including preconfigured messages that can be triggered automatically, remotely, or based on GPS position.

It can also serve as a backup communication system for existing onboard communication solutions, increasing system redundancy and reliability.

Furthermore, the platform allows integration with additional monitoring systems, including wind impact, cabin oscillation, and GPS-based position tracking along the ropeway line.

Cabin Wind & Motion Monitoring (IIoT-CWO)

Wind Impact & Oscillation Analysis for Ropeway Systems

Monitoring system for analyzing cabin oscillation and wind impact in ropeway installations, supporting safety evaluation and operational optimization.

Key features:

Wind measurement • Oscillation monitoring • GPS positioning • Energy-efficient operation • Wireless communication

Field tested

Industries:

Cable Cars • Ropeways • Mountain Transport Systems

Technical details
The Cabin Wind & Motion Monitoring system is designed to analyze the dynamic behavior of ropeway cabins under wind influence during operation.

It combines multiple sensors including wind measurement, oscillation detection, and GPS positioning to provide a comprehensive understanding of cabin movement and environmental impact.

Data is collected locally and transmitted to a central system using wireless communication technologies such as LTE-M, LoRaWAN, or Wi-Fi, depending on the installation environment.

The system enables detection of critical oscillation levels, supports safety analysis, and can be used to optimize operational parameters in challenging environmental conditions.

Cabin Door Control & Safety System (IIoT-DC)

Electronic Safety Monitoring for Cabin Door Systems

Safety system for monitoring and controlling cabin door locking mechanisms using electronic and radio-frequency-based technologies.

Key features:

Door lock monitoring • Cabin identification • Safety PLC integration • SCADA visualization • Contactless sensing technologies

Concept

Industries:

Cable Cars • Amusement Rides • Public Transport Systems • Automated People Movers (APM)

Technical details
The Cabin Door Control & Safety System is designed to ensure the correct locking state of cabin doors in passenger transport systems.

The solution replaces or enhances traditional mechanical monitoring systems by using electronic transponders and radio-frequency-based detection methods, integrated with safety PLC systems to meet required safety standards.

The system is capable of identifying individual cabins and tracking their presence within defined monitoring zones, enabling real-time visualization and system supervision via SCADA interfaces.

New developments include passive induction-based solutions that eliminate the need for onboard power sources such as batteries, further increasing system reliability and reducing maintenance requirements.

Predictive Maintenance & AI Systems

Advanced diagnostics and data-driven solutions for early fault detection, system optimization, and intelligent maintenance strategies

Early Detection Maintenance System (E2DMS)

Predictive Maintenance Platform for Industrial Systems

Advanced monitoring and analysis system designed to detect early indicators of faults and enable proactive maintenance strategies based on data-driven insights.

Key features:

Predictive maintenance • Multi-sensor data fusion • Early fault detection • Trend analysis • AI-supported diagnostics

Concept

Industries:

Industrial Automation • Transport Systems • Infrastructure • Energy Systems

Technical details
The Early Detection Maintenance System (E2DMS) is designed to identify early indicators of system degradation by combining data from multiple sensing technologies and applying advanced analysis methods.

The system collects and correlates data such as vibration, acoustic signals, and thermal measurements to detect subtle deviations from normal operating conditions. These deviations can indicate early-stage faults that are not yet visible through conventional monitoring approaches.

By integrating data processing and analytical models, including AI-based evaluation methods, the platform enables predictive maintenance strategies that reduce downtime, improve system reliability, and optimize maintenance planning.

The system is designed as a flexible framework that can be adapted to different applications and integrated with existing monitoring and SCADA systems.

Acoustic & Thermal Monitoring Systems

Advanced Sensing Technologies for Early Fault Detection

Specialized monitoring systems using acoustic and thermal sensing technologies to detect hidden defects, structural changes, and early-stage failures in mechanical and industrial systems.

Key features:

Acoustic analysis • Thermal mapping • Passive sensing • Non-invasive monitoring • High sensitivity detection

Concept

Industries:

Industrial Systems • Transport Systems • Mechanical Systems • Energy

Technical details
This group of systems includes specialized sensing technologies developed for early detection of faults using acoustic and thermal analysis methods.

Examples include SPARS (Static Passive Audio Radar Subsystem) and MPARS (Motion Passive Audio Radar Subsystem), which analyze acoustic signals to detect structural anomalies, friction effects, or abnormal mechanical behavior.

The TMS (Thermal Mapping Subsystem) utilizes far-infrared sensing to monitor temperature distribution and identify irregular thermal patterns that may indicate system stress, wear, or failure risks.

These systems operate in a passive and non-invasive manner, making them suitable for applications where direct sensor installation is limited or where continuous monitoring is required without impacting system operation.

Safety & Positioning Systems

Real-time tracking and safety solutions for personnel, vehicles, and transport systems in complex environments

RTLS – Worker Safety Tracking

Real-Time Location & Safety Monitoring for Personnel

Real-time tracking system for monitoring personnel location and safety conditions in complex environments such as tunnels, industrial sites, and transport infrastructure.

Key features:

Real-time positioning • Safety alerts • Environmental sensing • Wireless communication • Central monitoring

Concept

Industries:

Railway Systems • Tunnels • Industrial Sites • Infrastructure Projects

Technical details
The RTLS Worker Safety System is designed to monitor the real-time position and safety status of personnel operating in complex and potentially hazardous environments.

The system uses wireless sensors and positioning technologies to track worker location within tunnels, industrial facilities, or infrastructure sites. In addition to positioning, it integrates environmental sensors such as temperature, gas detection, and smoke monitoring to assess safety conditions continuously.

Data is transmitted to a central system where operators can monitor personnel distribution, detect critical situations, and trigger alerts or evacuation procedures if required.

The system can be integrated with vehicle-based sensors, such as motion detection or lidar, to reduce the risk of collisions between workers and moving equipment.

Vehicle & Asset Tracking Systems

Monitoring of Vehicles and Equipment in Operational Environments

Tracking system for monitoring the movement and availability of vehicles, equipment, and mobile assets within operational areas such as depots, emergency services, and industrial facilities.

Key features:

Asset tracking • Entry/exit monitoring • Real-time status • RF/UWB technologies • Central system integration

Concept

Industries:

Emergency Services • Industrial Facilities • Logistics • Transport Systems

Technical details
The Vehicle & Asset Tracking System is designed to monitor the movement, availability, and operational status of vehicles and equipment within defined areas such as depots, service stations, or industrial facilities.

The system typically uses radio-frequency or microwave-based identification technologies, including UWB or similar solutions, to detect when vehicles enter or leave specific zones.

This allows operators to maintain real-time awareness of available resources, track asset usage, and coordinate operations more effectively.

The system can be integrated with existing communication systems and extended to support multi-site environments, enabling centralized monitoring of distributed fleets and equipment.

Fleet & Shuttle Management System (SIMS)

Integrated Tracking & Coordination of Transport Systems

Automated system for tracking and managing vehicle fleets and shuttle systems, enabling real-time positioning, coordination, and operational planning.

Key features:

Real-time tracking • GPS positioning • Route monitoring • Automated coordination • System integration

Concept

Industries:

Public Transport • Shuttle Systems • Industrial Transport • Logistics

Technical details
The Shuttle Integrated Management System (SIMS) is designed to track and coordinate the movement of vehicles and transport units in real time.

The system combines multiple technologies, including GPS positioning, electronic barriers, and transponder-based identification, to determine the exact location and status of each vehicle.

It enables predictive arrival estimation, automated scheduling support, and real-time status updates across different operational points.

By integrating with central control systems, SIMS provides operators with a comprehensive overview of fleet movement and supports optimized coordination of transport processes.

Data Platforms & SCADA Integration

Scalable data acquisition, processing, and visualization solutions for industrial automation and monitoring systems

Independent SCADA & Visualization (OPC-UA)

Decoupled Monitoring, Visualization & Remote Access Platforms

Independent SCADA and visualization systems for real-time monitoring, data access, and user-friendly interaction with industrial processes without interfering with primary control systems.

Key features:

OPC-UA integration · Parallel SCADA operation · Real-time visualization · Alarm & event handling · Web-based dashboards · Mobile access · Secure remote access

Concept

Industries:

Industrial Automation · Transport Systems · Infrastructure · Energy · Smart Facilities

Technical details
This solution implements an independent SCADA system operating in parallel to existing control systems, allowing autonomous monitoring and visualization of plant data.

Data is accessed via a dedicated OPC-UA server with its own database structure, ensuring that the monitoring system is fully decoupled from the primary control infrastructure.

This architecture enables safe system extensions, independent analysis, and secure remote access without affecting operational control processes.

The systems provide intuitive interfaces for visualizing and interacting with industrial data in real time.

They are typically implemented as web-based dashboards accessible from desktops, tablets, and smartphones, allowing operators to monitor system status from anywhere.

Features include real-time data visualization, alarm handling, historical data analysis, and customizable dashboards tailored to specific operational needs.

The system supports flexible deployment and can be integrated with existing SCADA platforms or operate as a standalone solution, depending on the project architecture.

Data Collection & Processing Platforms

Centralized Data Acquisition & Analysis Systems

Flexible data acquisition systems for collecting, processing, and analyzing data from distributed sensors and industrial systems.

Key features:

Multi-source data acquisition • Central data processing • Scalable architecture • Real-time & historical analysis • Integration-ready

Concept

Industries:

Industrial Automation • Transport Infrastructure • Energy • Automation

Technical details
These platforms are designed to collect and process data from multiple sources, including sensors, control systems, and external data streams.

Data can be acquired through various communication interfaces such as fieldbus systems, Ethernet-based networks, wireless communication, or cloud integration.

The system enables both real-time monitoring and long-term data storage, supporting advanced analysis, trend evaluation, and reporting.

Its modular architecture allows adaptation to different project requirements and seamless integration with SCADA systems, analytics tools, and higher-level data platforms.

Passenger Flow & Analytics Systems

Data-driven solutions for analyzing passenger movement, optimizing capacity, and improving operational efficiency

People Counting Systems

High-Resolution Passenger Flow Monitoring

Accurate counting and analysis of passenger flows in vehicles, stations, and public environments to support operational optimization and data-driven decision making.

Key features:

High-accuracy counting • Entry/exit tracking • Real-time data • Historical analysis • Integration with control systems

Concept

Industries:

Public Transport • Rail Systems • Stations • Public Facilities

Technical details
The People Counting System is designed to accurately measure passenger flows in transport systems and public environments.

The system detects and counts individuals entering and exiting vehicles, stations, or controlled areas, providing high-resolution data for operational analysis.

Collected data can be used for multiple purposes, including passenger statistics, capacity planning, and optimization of transport schedules.

In addition, the system can trigger automated actions based on usage patterns, such as maintenance scheduling (e.g., cleaning cycles after a defined number of uses) or dynamic system adjustments.

Integration with central data platforms enables real-time monitoring, historical analysis, and advanced evaluation of passenger movement patterns.