History and CSV export — SookSook IoT module

The IoT module ofSookSookautomatically records all data received from connected sensors.

Each value sent becomes a historical trace that can be consulted over time.

The objective is to enable:

• supervision,
• analysis,
• technical monitoring,
• maintenance,
• traceability,
• and the use of field data.

Automatic data logging

Each time a JSON is received:

{ "device_id":"10t-cc", "temperature":42, "position":14, "battery":91
}

SookSook:

✅ saves values
✅ saves date and time
✅ matches data to the right equipment
✅ keeps complete history

Data retained

The system can log:

• temperatures,
• levels,
• positions,
• contacts,
• batteries,
• vibes,
• pressures,
• states,
• alarms,
• events,
• custom values,
• and any data present in the JSON.

Complete history by equipment

Each sensor has its own history.

Example :

10T-CC freight elevator

Dedicated history:

• cabin positions,
• engine temperatures,
• door states,
• events,
• alarms,
• cycles,
• technical measures.

Viewing history

The user can consult:

• the latest data received,
• the old values,
• past events,
• the evolution of the measures.

Historical table

The data is displayed in a dynamic table.

Example :

Complete paginated history

The system may contain:

• thousands,
• tens of thousands,
• even millions of lines.

To maintain good performance:

✅ the display is paginated.

Smart paging

The complete history is displayed by pages of:

500 lines

per page.

Example :

• page 1,
• page 2,
• page 3,
• etc.

Why limit to 500 lines

This allows:

✅ quick display
✅ smooth navigation
✅ less browser overhead
✅ better stability
✅ a comfortable consultation

even with a lot of data.

History navigation

The user can:

• go to the next page,
• go back,
• go directly to the first page,
• go to the last page.

Filtering by date

The module also allows you to filter the history.

Example :

Display :

• only today,
• only this week,
• only a machine stop,
• only a specific period.

Exemple

Filter:

From: 05/01/2026 To: 05/13/2026

The table will only display data within that time period.

Real-time history

The history updates automatically without reloading the page.

This allows:

• to see the new measures arrive,
• follow a machine live,
• monitor critical equipment,
• observe a phenomenon in real time.

Related graphics

History can also be represented in graphs.

Example :

• temperature evolution,
• level evolution,
• cabin height,
• battery,
• humidity,
• pressure,
• cycles,
• trends.

Usefulness of charts

The graphics allow:

✅ quick viewing
✅ anomaly detection
✅ trend tracking
✅ help with diagnosis
✅ maintenance analysis
✅ machine drift tracking

CSV export

The module allows you to export the complete history in CSV format.

CSV is a universal format compatible with:

• Excel,
• LibreOffice,
• Power BI,
• industrial software,
• statistical tools,
• ERP,
• quality tools,
• analysis software.

CSV content

The exported file contains:

• the date,
• the time,
• measurements,
• events,
• states,
• the historical values.

CSV example

Date;Temperature;Position;Contact 2026-05-13 10:00;42;14;1 2026-05-13 10:01;43;15;1 2026-05-13 10:02;44;16;0

Filtered export

The CSV export also respects date filters.

Example :

If the user filters:

05/01/2026 → 05/13/2026

SO :

✅ only this interval will be exported.

Why CSV export is important

Export allows:

• external analyses,
• technical reports,
• audits,
• maintenance studies,
• quality analyses,
• statistics,
• regulatory monitoring,
• archiving.

Use cases

Maintenance example

Export :

• engine temperatures,
• vibrations,
• cycles,
• positions,
• over several weeks.

Then analyze:

• the drifts,
• anomalies,
• periods of overload,
• dysfunctions.

Technical traceability

The history also allows:

• to find an event,
• check an alarm,
• analyze a breakdown,
• prove a situation,
• reconstruct an incident,
• maintain technical memory.

Objective of the historical module

SookSook’s historic IoT system therefore allows:

• complete supervision,
• a technical memory,
• an analysis of the equipment,
• automated traceability,
• real-time monitoring,
• and advanced use of field data.