This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of Scalable Automated Rail Geometry Monitoring System Using Integrated Total Stations

stepinsight.com

Construction

Logistics

Utilities

Challenges in Rail Geometry Monitoring

Legacy systems for rail geometry monitoring require manual setup, suffer from calculation inaccuracies due to single-station data limitations, and lack scalability. These issues increase operational delays, human error risks, and maintenance costs.

About the Client

A transportation infrastructure company specializing in rail network maintenance and safety monitoring systems.

Project Objectives

Replace outdated manual survey systems with automated multi-station integration
Achieve sub-millimeter accuracy in rail geometry calculations
Reduce manual configuration tasks by 80%
Enable seamless scalability for future network expansions

Core System Functionalities

Modular architecture for independent survey/processing/alarm components
Automated project configuration wizard
Overlapping data fusion algorithm from multiple Total Stations
Integrated alarm management system
FTP-based data synchronization framework

Technology Stack

IoT-enabled survey equipment integration

Web-based monitoring dashboard

Python-based processing engine

Modular microservices architecture

System Integrations

Legacy REMO alarm management system
Rail network FTP data repositories
IoT telemetry protocols for Total Stations

Non-Functional Requirements

99.99% system uptime for continuous monitoring
Support for 50+ concurrent Total Station connections
Data processing latency under 2 seconds
Role-based access control for security

Expected Business Impact

The implementation will reduce rail maintenance downtime by enabling real-time geometry monitoring, decrease measurement errors through automated multi-station data fusion, and provide a future-proof platform that can scale with network expansion requirements.