PATER Systems

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PATER architecture
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System architecture

PATER is an expert system based on a configurable client-server model. This architecture ensures that data stored in the database can be accessed from virtually anywhere and client users can use the software through the internet after proper authentication. All data are stored and updated in one location therefore all data available for end users are always up-to-date. In general, it also means that execution time consuming tasks can be run on the server and only the results are transferred to the clients via internet or a local network connection.

The core of the architecture is the database server. The server should be scaled according to the amount of data being processed, or to be more practical, it depends on the total length of the railway lines. It is strongly adviced to use a backup server for failover or load balancing purposes. Client workstations are generic Windows-based desktops or notebooks with a high-speed network connection.


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PATER systems

PATER system structure is based on integrated sub-systems or modules. Each module has its main task, however all modules are connected to each other, providing information for the other modules. PATER has a specific method to connect the corresponding modules to ensure data exchange between the relevant sub-systems. Sufficient data can be imported to any of the modules through a standardized import format.

The ID module is dedicated to infrastructural data storage and presentation. It provides a huge amount of comfortable configuration and selection tools to the user. Additionally, there are many possibilities to export data in common data formats (xls, pdf). System-wide, area-wide and individual configurations, algorithms and filters can be used to evaluate data. Results are displayed as 2D diagrams or reports.

Measure Database stores measure and inspection data, which is stored and grouped by several measure parameters and measure systems that experts can define and configure according to their needs.
Some examples of the configurable measure systems are:

  • track geometry measure system
  • rail profile measure system
  • internal rail inspection system
  • corrugated rail wear measure system
Besides these, other measure systems can be defined, for example: systems for clearance, overhead connectors, structural inspections, etc.

The measure systems also provide data to display local track faults referenced by different measure parameters. PATER can calculate generic qualifying data as well, which contain important information about the track condition. These data are processed by the Traffic Safety module, which determines the proposed speed values along the track.
Speed analysis based on local track faults can show the conformance of the applied speed values on the track. The generic qualification data is used to provide information about the overall conditions regarding the track speed values. This can be the basis of a compliant maintenance plan.

The software records the track maintenance measure data according to the different measure periods, year by year. By this, the actual inspections can be compared to some earlier basis inspections. Track experts can follow the temporal state changes according to different qualification sections with the graphical representation of several years measure periods values and the improvements or decay trend periods can be predicted as well by the Work Suggestion module.
The characteristics of the recorded measure data can determine the type of the actual maintenance work. Some of the possible work types are:

  • geometric lining of the track
  • screening of the ballast
  • rail replacement because of rail wear
  • grinding of rails
  • maintenance of structural elements (sleeper- and fastener replacement, etc.)

The software is capable to determine the estimated costs of te maintenance, by using the maintenance plan and the chosen technology. These results can help railway decision-makers to make their decisions about the future plans with optimal expenses. Statistical processing of network measure data helps this, too. The qualifying data of the tracks overall conditions can be displayed according to selected railway lines or specific organizational department areas. This data can be displayed retrospectively for many measure periods in the past, which represents the trend of the track condition change.

Processing the registered data and using the former analysises of the database, the users of PATER (decision-makers, as well as operators) can produce specific business intelligence reports, summaries and statistical queries, which can also be printed.
With a practical filter, Users can define criterias, can select and list the data they need, either by geographical locations or by the actual date and history of a record. Filter definitions can be saved to provide uniform and generic queries.