Aggregated Data
The Aggregated Time Bucket Measurements feature provides a powerful and efficient way to review and analyze temperature data collected from sensors over time. It offers summarized insights into sensor behavior and environmental conditions through statistical aggregation.
Purpose and Function
The main goal of this feature is to support operational and compliance monitoring by summarizing large volumes of sensor data into easily digestible metrics over selected time intervals. This summary helps:
Identify temperature trends and anomalies
Verify temperature stability and compliance over time
Support audits and reporting with clear data patterns
Time Bucketing Options
You can choose how the data is grouped by selecting a Time Bucket:
Hourly – Breaks the data into hour-by-hour segments
Daily – Aggregates all readings in a 24-hour period
Each bucket shows a snapshot of statistics based on that interval.
Aggregated Metrics Per Bucket
For each selected time period, the following statistics are computed and displayed for each sensor:
Minimum Value (min) – Lowest temperature recorded during the interval
Average Value (avg) – Mean temperature across all readings within the interval
Maximum Value (max) – Highest temperature reached during the interval
These are calculated separately for:
Probe Temperature (e.g., TMP117)
Ambient Temperature (e.g., SHT Sensor)
Battery Voltage, where applicable
Use Cases
Audit support – Review whether conditions remained compliant over days or weeks
Incident analysis – Investigate exact conditions during temperature excursions
System optimization – Detect recurring daily patterns that may suggest operational inefficiencies (e.g., temperature spikes during service times)
Data Export
A download button allows you to export this aggregated data for offline use or integration into external reports. This makes it easy to back up data or share with stakeholders such as hygiene managers or auditors.
Benefits
Reduces the complexity of raw data interpretation
Highlights key patterns and exceptions
Supports proactive decision-making with clear visuals
Empowers technical and non-technical users alike with meaningful summaries
Last updated
Was this helpful?