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Compliance


1. Overview

The Compliance Feature of the wireless temperature monitoring system ensures adherence to food safety programs, particularly at Critical Control Point (CCP) 2, which pertains to cold and frozen storage. In a typical food safety framework, temperature control is vital to mitigating microbiological hazards, making this feature central to daily verification processes.

Digital sensors collect temperature data roughly every 20 minutes, leading to a vast volume of data. The compliance feature refines this data into twice-daily values (AM and PM) that are audited against program thresholds.


Time Frames and Thresholds

  • AM window: 00:00 to 12:00

  • PM window: 12:00 to 00:00

Temperature thresholds (or critical limits) are:

  • Cold storage: ≤ 5°C (commonly 4°C)

  • Frozen storage: ≤ -15°C (commonly -18°C)


2. Data Logic

For each unit, the system attempts to find a compliant temperature value (ambient or probe) within the defined window:

  • Pass: At least one compliant value is found within the AM or PM range

  • Fail: No compliant values within the window

Compliance logic options:

  • Use Ambient only (OR logic)

  • Use Probe only (OR logic)

  • Use Both (stricter, requires both values within threshold, AND logic)

Thresholds and logic type are configurable during implementation and editable by admin users.


3. Compliance Dashboard

3.1 Graphical Trends

  • Bar chart: Number of non-compliant units per day split by AM and PM

  • Line chart: Total daily non-compliances

  • Time Filter: Defaults to last 7 days; can be adjusted

3.2 Worst Performer Summary

  • A horizontal bar chart on the right side of the dashboard highlights the two units with the highest counts of non-compliance over the selected period.

  • Useful for targeted maintenance and resource allocation

3.3 Compliance Grid Table

A date-by-device grid view for the selected period.

  • Each row = a monitored unit (device name + DevEUI)

  • Each column = a date (e.g., 9/3, 10/3 … 15/3)

  • Each cell is split diagonally; hover over the result to see the recorded temperature data. ✓ Green tick = Compliant ✗ Red cross = Non-compliant

"Each cell is split diagonally: AM is top-left, PM is bottom-right."

Use the ← → navigation arrows to scroll through date ranges. Use the Search Label / DevEUI field to filter to a specific device.

3.4 Detailed Records Table

A full log of individual compliance check records is displayed below the grid. Use the “View More” or “Hide” button to expand or collapse this table.

Displays data per unit:

  • Unit Name

  • Unique Sensor ID (DevEUI)

  • Ambient & Probe readings

  • Compliance status (green tick / red cross)

  • Schedule time and actual record time

Additional features:

  • Hovering on the unit name opens a modal with recent sensor data

  • Pagination for historical records

  • Filters:

    • By label or DevEUI

    • Compliance only / Non-compliance only


4. Site-Wide Compliance

From the site or department view, a global Compliance Dashboard is accessible.

Features:

  • Same visualizations as local dashboards but applied to the entire site

  • Non-Compliance Bar Chart

  • Worst Performers List

  • NC by Category Pie Chart:

    • Segments by deviation: 0-1°C, 1-5°C, 5-10°C, 11-20°C+

    • Pie segments are clickable for filtering

  • Data Table includes “Out By” column (degree variance from limit)

  • Filters by variance range to group issues by severity


4. Daily Email Summary

A system-generated daily email summarizes:

  • AM and PM compliance overview (pie chart + bar chart)

  • Attached spreadsheet with:

    • Compliant unit summary

    • Non-compliant unit details: timestamps, unit names, temperatures, thresholds

Recipients include key staff like chefs, food technologists, and hygiene managers.


5. Summary

The Compliance Feature transforms high-frequency sensor data into actionable, auditable compliance records. It supports both localized and global overviews of temperature control, aligned to food safety CCP and OPRP requirements. With visual insights, filtering, and automatic daily reporting, it empowers proactive risk management in food environments.

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