Maintenance 4.0 in rail transport: From Big Data to Smart Data

Railway companies and railway infrastructure companies constantly have to decide what improvement measures to take, based on condition data and multiple indicators. When and with what funds these measures will be implemented is a complex matter, which depends on the rate of change in condition, cost and time required to complete the measures, and on the consequences of non-availability. A helpful decision aid is the Cost/Condition Index, determined through consistent application of Maintenance 4.0 standards. If one is to gain Smart Data from the typical “data graveyards” of Big Data, one must recognise that condition monitoring, diagnostics and maintenance management are a single unit, in the sense of integrated asset management. The important thing is not the simple acquisition of data, rather its analysis, where constant condition monitoring is prerequisite for choosing the best maintenance strategy. zedas®asset is an industry-specific tool for obtaining this decision-critical condition information. All relevant process, operation and measured data arising from structured systems, vehicles and components can be monitored, analysed and managed in asset management software. This includes displaying system or vehicle conditions, along with their full life history. All maintenance-related information regarding faults, dates, orders, measured values or limit violations are displayed and monitored centrally. Follow-up times are defined in maintenance plans, which can be initiated periodically or load-dependently, or a condition-dependent expiry prediction can be made based on analysed vehicle or system data. Thus, from the masses of data (“Big Data”), intelligent derivations (“Smart Data”), such as expiry times, can be made. Work plans and checklists can also be generated for budget planning. Work operations, performance periods, materials and spare parts can be assigned in order to plan resources with foresight. Necessary maintenance measures and resources will be planed and budgeted efficiently. Technical diagnostics using multivariate methods can deliver software-supported predictions of capital expenditure and operational expenditure.
Want to know more about how to turn Big Data into Smart Data using zedas®asset, visit our experts from 20. - 23. September 2016 at InnoTrans (Berlin, Germany) at City Cube, booth B/201.

ZEDAS GmbH develops software products for the logistics management of rail transport and for the asset management of vehicle fleets and technical asset management. Standard software products are zedas®cargo and zedas®asset. The introduction and implementation of software developed in-house are our key services. We provide a 24 hour service with our solutions. ZEDAS customers are rail and transport companies and industrial companies. They include the freight transport, mining, oil, gas, chemistry, production engineering and renewable energy sectors.

Ulrike Gollasch
Marketing
ZEDAS GmbH
A.-Hennecke-Str. 37
01968 Senftenberg
Germany

Tel.: +49 (3573) 7075-18
E-Mail: ugollasch@zedas.com
www.zedas.com
http://railfreightsoftware.zedas.com/

This release was published on openPR.