The CEMIT Intelligent Railway System™ redefines how you build, operate, and maintain railways. Backed by a senior management team with over seventy-five years of industry experience, we deliver consistent, measurable improvements on fault reduction, accuracy, efficiency, and predictability through the use of smart sensors, machine learning, and data visualization.
CEMIT Visualizer™ consists of cost-effective, IoT enabled sensing hardware and a design-driven data visualization platform. The intelligence behind the platform is provided by a back-end machine learning and data analytics engine. Our smart monitoring system is a completely new, breakthrough technology that surpasses the limitations of existing rail inspection and monitoring solutions.
By utilizing the power of the CEMIT Intelligent Railway System™, with its smart sensors, big data and machine learning, we are able to collect large amounts of data. The CEMIT AI Engine™ reads and analyzes this data to present the results clearly and concisely through CEMIT Visualizer™ dashboards.
Railway infrastructure owners and maintenance providers can use the predictive analytical abilities of CEMIT Visualizer™ to help them better use their resources. By doing so, they can resolve problems before they occur, reducing expensive pre-scheduled periodic checks and misdiagnosed problems.
In our world, smart data directly translates to business intelligence. By gaining predictability over potential faults and maintenance needs, CEMIT can improve rail operations and maintenance efficiency by an estimated +20%. Adding reduced faults and increased accuracy for more reliable railway services, CEMIT Visualizer™ represents a strong solution choice when it comes to making railways more intelligent.
The CEMIT Rail Depot Management System™ provides a state-of-the-art railway monitoring solution based on low-cost sensors, data analytics, and machine learning. The Internet of Things (IoT) connected sensors, installed on the trains, will send data to the cloud to analyze and identify issues, together with other relevant data collected from silo systems already installed.
The CEMIT Rail Depot Management System™ can locate problems on the tracks, wheels, or the catenary system through sensor modules designed, packaged, and configured to ensure minimally invasive installation requirements.
The result of CEMIT Rail Depot Management System™ implementation is an increase in efficiency and control over operations, management, billing, and the delivery of predictive planning and the optimization of rail depots.
Unlike existing intelligent condition monitoring systems, CEMIT uses powerful machine learning with a low-cost, high data volume approach to infer root causes, eliminating the common problem of root cause-confusion in fault diagnoses.
The CEMIT Graphical Route Planner™ is a digital solution for planning train routes and time tables. The goal is to upgrade and modernize today’s current solutions, which are manually written and paper-based.
This fully digital solution removes the need for large printers and paper archives, resulting in the minimization of human error and increased productivity through both team cooperation and communication.
In general, current existing industry solutions are costly, lacking interconnectivity, narrow in application scope, overly complex, and non-intuitive. The rail system is a multifaceted machine with many moving parts, including wires, trains, tracks, and hundreds if not thousands of smaller components.
It is impossible to directly measure every element, which means existing systems will inherently misdiagnose faults. CEMIT technology, such as the CEMIT Graphical Route Planner™, was developed specifically to address and overcome these issues.
CEMIT is a pioneer in the integration of digital systems into the rail sector. As an international, passionate and multifaceted team, we work collaboratively to help transition today’s train industry into one that can meet the green-demands of the future.
The global predictive maintenance market, including IoT-based remote monitoring of trains and track, is still developing, but shows an expected annual growth rate of 21% over the next three years.
Backed by a diverse mix of professionals, with expertise rooted in engineering, railway technology, computer analytics, data science, visual art, programming, business development and the like, we hope you will join us as we redefine sustainable transport on a global scale.
