Information Technology Reference
In-Depth Information
3.1
To monitor axle boxes by train staff
For this sub-function, three activities are distinguished:
- Train drivers of cruisers trains can perceive visually anomalies on other
trains,
- Train drivers can detect problems on their own train,
- On board staff and train passengers can see anomalies on the rolling
stock.
To perceive anomalies on crossed trains
This activity is represented by figure 1 (a). It needs a train driver for a cruiser
train that can detect a visible axle box anomaly on other trains. This activity
is represented by three parameters: the train driver attention for his driving
environment (
TDA
), the percentage of trains supervised (Visual Inspection
Quotient
VIQ
) and the percentage of time that the driver spends to monitor
the train he meets (Train Crossed Quotient
TCQ
).
To detect problems on their own train
The SADT model is represented by figure 1 (b). It also needs a train driver
that can detect a visible axle box anomaly on their own train. This activity
is represented by three parameters: the train driver attention (
TDA
), the
percentage of supervised wagons (Wagons Supervised Quotient
WSQ
)and
the percentage of time that the driver spends to monitor its own train (Train
Crossed Quotient
TCQ
).
To detect problems by on board staff and passengers
This activity is only available for passenger trains that are not empty. The
SADT model is represented by figure 1 (c). It needs both passengers and crew
that can detect a visible axle box anomaly. This activity is represented by four
parameters: the passenger attention (
PA
) for their environment, the number
of passengers by wagon (
NP
), the percentage of passengers implicated (Pas-
sengers Implication Quotient
PIQ
) and the crew procedural action (
CPA
).
3.2
To monitor axle boxes by STEM agents
The SADT model is represented by figure 1 (d). It needs STEM agents with
a role in trac safety. Several types of agents can be used: switchers, regula-
tors, staff at stations, staff at docks, ... This activity is represented by three
parameters: the STEM agents attention (
STEMA
), the STEM agent quotient
(
SAQ
) and the number of agents available (
NA
).
3.3
To monitor axle boxes by on track HBD
A single on track HBD is considered in this paper. Its objective is to measure
temperature of axle boxes, to compare it to alarm thresholds and, in case of
an alarm, to inform the control station. The SADT model is shown by figure 1
(e). This activity is represented by five parameters: the number of detectors
(
NB
HBD
), the number of failures tolerated per year (
NFT
), a risk factor
