{"info":{"_postman_id":"46094219-adcb-46be-95c1-44286bf36999","name":"J&J - MaxTrace API Collection","description":"

MaxTrace shipment thermal performance / excursion prediction, incident detection and classification service.

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Parameters

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Replace \"roambee-bd844d13-d970-4c4d-8e8a-0933a4b6f982\" in the GET url with any shipment ID you want to receive MaxTrace prediction parameters. Below is the list of prediction variables, description and correspondign value range.

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VariableDescriptionValue
MT_sop_complianceMeasures the overall shipment
ambient temperature
compliance percentage
compared to the original
planned SOP.		Percentage Range: 0 – 100%
MT_sop_warehouseMeasures
the shipment ambient
temperature compliance
percentage compared to the
original planned SOP, when
the shipment is in a
warehouse.		Percentage Range: 0 – 100%
MT_sop_groundMeasures
the shipment ambient
temperature compliance
percentage compared to the
original planned SOP, when
the shipment is in a ground
transport (truck).		Percentage Range: 0 – 100%
MT_sop_airMeasures the
shipment ambient temperature
compliance percentage
compared to the original
planned SOP, when the
shipment is in an aircraft.		Percentage Range: 0 – 100%
MT_energy_levelDynamic energy status of the
shipping container. For active
container, this represents the
predicted container battery
level. For passive container,
this represents the amount of
energy left in the passive
container to maintain desired
temperature range.		Percentage Range: 0 – 100%
MT_time_remainingShipping container
performance indicator for a
specific shipment. If the
shipping container stays in the
current location, the amount of
time remaining before the
system dynamic energy is
completely depleted. For
active container, this
represents the amount of time
before the onboard battery is
fully depleted of charge.		1) Time in hours
2) \"CHRG\" – Container charging in
progress.
3) \"CHRG_NonCompliant\" – Container
charging has not followed the SOP
plan. High risk of excursion.
MT_excursion_predictionA temperature excursion is
predicted for a specific
shipment.		1) Yes – Temperature excursion
predicted. May require a
preventive or corrective action.
2) No – No temperature excursion
predicted.
MT_excursion_levelThe type of temperature
excursion.		1) High – Temperature excursion
possibly on the higher end.
Payload temperature expected to
be higher than the shipping
temperature range (STR).
2) Low – Temperature excursion
possible on the lower end. Payload
temperature expected to be lower
than the shipping temperature
range (STR). 3) NA - Not applicable when there is no excursion.
MT_temp_incidentA temperature incident has
been detected. Temperature
incidents are not predictable,
but are detected by analyzing
specific features in the payload
data. Some incidents, due to
their nature, could lead to
immediate excursion with
unpredictable reaction time.
For instance, if an active container door is opened for
inspection, the effects can only
be detected by analyzing the
consequential payload
temperature data points.		1) 0 – No incident has been detected.
2) 1 – Door open incident. The
container (active/passive) door has
been opened.
3) 2 – Extreme ambient. The
container is being exposed to
higher ambient conditions.
Applicable only for active
container.
4) 3 – Power loss. The container lost
all its power and possibility of
imminent excursion. Applicable
only for active container.
5) 4 – Sensor issue. The temperature
data received from the IoT device
is not reliable. The temperature
value is outside the expected
range.
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Responses

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Example:

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[{
\"device_id\": \"long\",
\"latitude\": \"float\",
\"longitude\": \"float\",
\"speed\": \"float\",
\"distance_remaining\": \"float\",
\"payload_temperature\": \"float\",
\"id\": \"string\",
\"shipment_id\": \"string\",
\"shipment_name\": \"string\",
\"device_time\": \"string\",
\"address\": \"string\",
\"created_at\": \"string\",
\"updated_at\": \"string\",
\"ambient_temperature\": \"float\",
\"tracking_id\": \"string\",
\"origin\": \"string\",
\"destination\": \"string\",
\"user\": \"string\",
\"start_time\": \"string\",
\"eta\": \"string\",
\"status\": \"string\",
\"status_timestamp\": \"string\",
\"MT_sop_compliance\": \"int\",
\"MT_sop_ware_house\": \"int\",
\"MT_sop_ground\": \"int\",
\"MT_sop_air\": \"int\",
\"MT_energy_level\": int,
\"MT_time_remaining\": \"string\",
\"MT_excursion_prediction\": \"string\",
\"MT_excursion_level\": \"string\",
\"MT_temp_incident\": \"int\"
}]

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