IS:detector

From railML 3 Wiki
Jump to navigation Jump to search

Introduction

Servo style hot box scanners and dragging equipment detector.
Deer

Wayside monitoring systems are railway systems that record the technical condition of passing trains. Depending on the type of monitoring system, various conditions can be automatically recorded using different sensors[1]. A defect detector is a device used on railroads to detect axle and signal problems in passing trains. The detectors are normally integrated into the tracks and often include sensors to detect several different kinds of problems that could occur [2]. Alarm systems detect avalanche flows, mud-flows or the opening of cracks in rock walls and automatically close roads and railway lines with traffic lights in case a dangerous event occurs[3]. Detection of GPS-instrumented [animals] is [a] possibility (GPS connected to GEOfencing or other virtual fencing), but of mitigating collisions between vehicles and animals[4].

See photos with Trackside rock slide detector on the UPRR Sierra grade at "Cape Horn" above Colfax, CA (external link) and Hot box detector/wheel impact detector set north of Jinjiang Leyuan Station (external link) at Wikimedia Commons.

Documentation

Syntax

Autoexport from the XML-Schema for element IS:detector of railML® version 3.3
    
Documentation natural hazard detection
Subschema infrastructure
Parents*

detectors

Children

areaLocation (0..*), designator (0..*), elementState (0..*), gmlLocation (0..*), isValid (0..*), linearLocation (0..*), linkedWith (0..*), name (0..*), networkLocation (0..*), spotLocation (0..*), typeDesignator (0..*)

Attributes:
  • detects: type of hazard that is detected by the detector (optional; xs:string; patterns: other:w{2,}; consider Use of tOtherEnumerationValue too.)
Possible values:
  • avalanche: Detector is used to detect avalanches
  • camels: Detector is used to detect camels on the track
  • derailment: Detector is used to detect if a train has been derailed.
  • flatWheel: Detector is used to detect flat wheels
  • hotWheelBox: Detector is used to detect hot wheel boxes
  • pantographContactPressureAnomaly: detects if the overhead contact line pressure is too low or too high when trains passes
  • pantographContactStripWear: detects a faulty or worn contact strip on a pantograph
  • reindeer: Detector is used to detect reindeer on the track
  • rocks: Detector is used to detect rocks on the track
  • sand: Detector is used to detect sand on the track,

  • id: the identifier of the object; this can be either of type xs:ID or UUID (obligatory; xs:ID); compare: Dev:Identities
*Notice:
Elements may have different parent elements. As a consequence they may be used in different contexts.
Please, consider this as well as a user of this Wiki as when developing this documentation further.
Aspects that are only relevant with respect to one of several parents should be explained exclusively in the documentation of the respective parent element.

 

Autoexport from the XML-Schema for element IS:detector of railML® version 3.2
    
Documentation natural hazard detection
Subschema infrastructure
Parents*

detectors

Children

areaLocation (0..*), designator (0..*), external (0..*), gmlLocations (0..*), isValid (0..*), linearLocation (0..*), linkedWith (0..*), name (0..*), networkLocation (0..*), spotLocation (0..*), typeDesignator (0..*)

Attributes:
  • detects: type of hazard that is detected by the detector (optional; xs:string; patterns: other:w{2,}; consider Use of tOtherEnumerationValue too.)
Possible values:
  • avalanche
  • camels
  • reindeer
  • rocks
  • sand,

  • id: the identifier of the object; this can be either of type xs:ID or UUID (obligatory; xs:string; patterns: (urn:uuid:)?[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}|{[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}}); compare: Dev:Identities
*Notice:
Elements may have different parent elements. As a consequence they may be used in different contexts.
Please, consider this as well as a user of this Wiki as when developing this documentation further.
Aspects that are only relevant with respect to one of several parents should be explained exclusively in the documentation of the respective parent element.

 

This element does not appear in railML® 3.1 within the IS subschema. It is available only in railML® 3.2, 3.3. Do not hesitate to contact railML.org e.V. for further questions.


Changes 3.1→3.2

There exists an overview of all changes between railML® 3.1 and railML® 3.2 on page Dev:Changes/3.2.
Introduced with version 3.2.

Changes 3.2→3.3

There exists an overview of all changes between railML® 3.2 and railML® 3.3 on page Dev:Changes/3.3.

The children have been changed.

The attributes have been changed.

Semantics

Best Practice / Examples

This example is based on Trafikverket Network Statement (external link).

2015-11-13 railML detector.png
2015-11-13 railML detector1.png
Trafikverket Network Statement (external link) Open street map 
        <detector id="d1" detects="hotWheelBox">
          <spotLocation id="d1sp" netElementRef="ne1" intrinsicCoord="0" applicationDirection="both">
            <geometricCoordinate positioningSystemRef="gps1" x="63.50635184475849" y="19.34992879549546"/>
          </spotLocation>
        </detector>

Additional Information

Notes

Additional Information

🗒️ This segment provides background information that is not relevant for the certification process.  


Introduction was reviewed by the coordinator (link to the railML® website) of the Infrastructure subschema on 2025-10-29.

Open Issues

References

  1. ↑ https://de.wikipedia.org/wiki/Streckenseitige_%C3%9Cberwachungssysteme
  2. ↑ https://en.wikipedia.org/wiki/Defect_detector
  3. ↑ Gubler, Hansueli. "Five years experience with avalanche-, mudflow-, and rockfall-alarm systems in Switzerland." Proceedings of the international snow science workshop (ISSW), Big Sky, Montana. 2000. https://arc.lib.montana.edu/snow-science/objects/issw-2000-424-432.pdf
  4. ↑ Hansen, I., et al. "Can a new electronic warning system prevent collisions between vehicles and semi-domestic reindeer?." 9th European Conference on Precision Livestock Farming, ECPLF 2019, Cork, Ireland, August 26-29, 2019. Organising Committee of the 9th European Conference on Precision Livestock Farming (ECPLF), Teagasc, Animal and Grassland Research and Innovation Centre, 2019. https://edepot.wur.nl/541504#page=270
Retrieved from "https://wiki3.railml.org/index.php?title=IS:detector&oldid=16986"