Emma Smart Trackers are precision instruments equipped with highly accurate sensors. The temperature sensor specifications are as follows:
• Temperature range: -40 to +85℃ with ±0.3℃ accuracy
• Optimal accuracy: 0 to +60℃ with ±0.2℃ accuracy
Since our smart tracker is placed as close as possible to the cargo, it provides the most accurate representation of the actual temperature of the goods. However, you may notice differences between the temperature recorded by the Emma Smart Tracker and the readings from the truck’s heating or cooling unit (e.g., Carrier/Thermo King system). This is a common occurrence due to several factors:
1. Where the Truck’s System Measures Temperature
Most truck refrigeration and heating units measure return air temperature, meaning the air flowing back into the system. This does not always reflect the actual temperature inside the cargo space, as air circulation can be uneven.
2. Airflow and Temperature Distribution
• The short distance between the intake and exhaust air in the cooling/heating unit can create misleading temperature readings.
• Air distribution in the cargo area may not be uniform, leading to localized temperature variations.
3. Challenges with Heating Efficiency
• Some units may struggle to heat the cargo area sufficiently, especially in colder conditions.
• Equipment wear and tear (e.g., compressor issues) can affect the unit’s ability to reach the set temperature.
4. Cold Start Conditions
If the truck’s cargo area was previously unheated or exposed to cold conditions, it might take time to reach the correct temperature range. This is particularly common on early morning trips before the heating system has fully stabilized.
How to Interpret the Readings?
If you see a temperature discrepancy, consider these factors:
✅ Placement of the tracker – Emma Smart Tracker measures temperature near the cargo, while the truck’s system measures return air.
✅ Time of day and preheating – Was the cargo area preheated before loading?
✅ Airflow conditions – Poor air circulation can cause uneven temperature distribution.
By understanding these differences, you can make more informed decisions about temperature monitoring and cargo conditions.