Railway Monitoring and Management

Solution Group

Industry

Smart Transportation
Transport and Logistics

PoC Duration

Iotellect Match

5-25 days
AI powered Low Code IoT/IIoT Platform

Provide end-to-end industrial and facility automation across the railroad infrastructure, along with real-time monitoring, predictive maintenance, and advanced analytics to reduce accidents, optimize scheduling, and lower maintenance costs. Improve passenger experience through timely updates, increase energy efficiency, and enable better asset and fleet management. Use an advanced IoT platform to boost security with surveillance and cybersecurity, while getting deep data visibility to enable informed decision-making. Additionally, leverage environmental benefits that arise from reduced emissions.

Iotellect is a low code IoT/IIoT platform and ecosystem that includes out-of-the-box industrial automation and digitization products, such as SCADA, BMS and BI. It allows business-oriented IoT professionals to join the solution development process by converting their Industry 4.0 knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Railway Infrastructure

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Weather stations
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PLCs and IIoT gateways
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Track sensors
to monitor temperature gradients, vibrations, weight, cracks, misalignments, etc.
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Wheel impact load detectors
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Overhead line monitoring systems
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Bridge and tunnel monitoring sensors
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Obstacle detectors
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Track circuit systems
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GPS-based train positioning systems
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Balises
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Positive Train Control (PTC) systems
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Smart signaling systems
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Traction substation equipment
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IP cameras and computer vision systems
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In-cab signaling equipment
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Collision avoidance systems
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Vendor-specific train control systems
  • Usage of GSM-R for railway operations, enabling secure, real-time communication between trains, control centers, and staff
  • Communication of trains with trackside equipment and control systems to receive updates on signals, speed limits, and potential hazards, enabling automated safety responses like braking
  • Utilization of satellite connectivity in remote areas where ground-based communication systems are limited, ensuring continuous real-time tracking of train locations via GPS and satellite communication
  • Optimization of train timetables and routes based on demand, traffic conditions, and real-time operational data
  • Automatic control of train speeds and movements based on track conditions and signals through Positive Train Control (PTC) and Automatic Train Protection (ATP) systems
  • Usage of RFID tags, GPS, and tracking systems to manage and monitor rail assets, including rolling stock, spare parts, and cargo

Connectivity and Management

  • Low code integration with SCADA system
  • Low code integration with weather monitoring systems
  • Low code integration with signaling systems
  • Low code integration with Centralized Traffic Control (CTC) systems
  • Low code integration with Passenger Information Systems (PIS)
  • Low code integration with ticketing and fare collection systems
  • Low code integration with Geospatial Information Systems (GIS)
  • Low code integration with logistics and freight management systems

Integration

  • Analysis of patterns in equipment wear to schedule maintenance only when needed, reducing costs and downtime
  • Prediction of failure of components like tracks, engines, or brakes by using historical and real-time data from sensors (e.g., temperature, vibration, stress)
  • Assessment train load and track usage to ensure optimal allocation of trains, reducing under-utilization or overcrowding
  • Usage of passenger data (from ticket sales, mobile apps, and sensors) to predict peak travel times and optimize train capacity based on expected demand
  • Analysis of data from stations and onboard systems to manage passenger flows and prevent overcrowding, especially during peak hours
  • Tracking the condition and usage of trains, tracks, and infrastructure to analyze wear patterns and maximize asset lifespan
  • Data usage to ensure spare parts, rolling stock, and other assets are managed efficiently, reducing the cost of holding unnecessary inventory
  • Recommendations for optimal responses to network disruptions, such as re-routing trains, adjusting schedules, and deploying resources, to minimize impact
  • Tracking and analysis of travel patterns and behavior (e.g., preferred routes, ticket types) to personalize services and optimize pricing models

Analytics

  • Display of real-time data on train positions, track conditions, weather, and operational status across the railway network
  • Real-time alerts for equipment failures, safety issues, or delays are displayed prominently to allow quick responses
  • Interactive mapping of the entire railway network, train locations, track conditions, and asset locations in real-time
  • Support for visual indicators such as green for normal operations, yellow for warning, and red for critical issues make it easy to identify problems at a glance
  • Features for operators to zoom in to specific sections of the track or zoom out for a network-wide view, allowing for detailed inspection or high-level monitoring
  • Display of historical and real-time data using line charts, bar graphs, pie charts, and heatmaps to provide insight into trends such as train delays, fuel consumption, and asset health
  • Interfaces for controlling train speed, signal operations, and track switching directly from the control center with intuitive command buttons or drag-and-drop functionality

UI/UX

Key Features
for Your Railway Monitoring and Management Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Engineering Companies
  • Government Agencies
  • Original Equipment Manufacturers
  • Railway Enterprises

Solution Users and Developers

  • Dedicated low code developers
  • SCADA/HMI engineers
  • Industrial automation specialists
  • Railroad transportation industry professionals
  • Railway logistics experts
Customer success team
Community
Online training

Assistance

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Proved Worldwide
Across Industries
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15 000 000 000 000+

data samples collected and processed

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25 000 000+

devices under monitoring and supervision

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40 000+

types of devices and data sources connected via more than 50 supported communication protocols

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300+

SaaS and on-premise partner products created

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80+

countries leverage Iotellect technology

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