Digitising Production Logsheets: From Paper to Live Data

In many plants, operators still walk the floor every hour with a clipboard: recording temperatures, pressures, meter readings, and machine status on a logsheet. The sheets are collected at shift end, copied into a spreadsheet by an admin days later, then rarely opened again except when there is a problem or an audit.

The process looks simple, but it is costly: operator time goes into writing, data arrives late, and errors are hard to trace. This article covers a staged approach to digitising production logsheets, including which parts sensors can automate and which still need human input.

The problems with paper logsheets

• Late data. A deviation at 2 p.m. reaches the manager the next day, or never.
• Writing and copying errors. A number written wrong on the floor, then mistyped again when moved to a computer.
• Back-filling. When operators are busy, logsheets are sometimes filled in later from estimates. The data looks complete but does not reflect reality.
• Hard to analyse. Finding trends in a pile of paper is nearly impossible.
• Operator time. Minutes spent walking and writing could be spent checking and fixing.

Step 1: inventory existing logsheets

Gather every type of logsheet in use. For each column, note what is recorded, how often, who fills it in, and who actually uses the data. Often there are columns filled in for years that nobody uses, and those can be dropped straight away.

Step 2: separate what can be automated

Type of data	How to digitise
Electricity, water, or gas meter readings	Energy meters or sensors that send data automatically
Temperature, pressure, tank level	Installed sensors with history and alarms
Machine running or stopped	Read from machine current or from the PLC
Production counts	From a PLC, a counter, or operator input
Visual inspection results, incident notes	Still entered by people, through digital forms

The principle: anything a machine can measure should be measured by a machine. People focus on inspection, judgement, and action.

Step 3: start where it matters most

Do not digitise every logsheet at once. Pick one area where late data hurts most, such as a critical utility or a machine that often has problems. Install sensors for the most frequently logged parameters, run them in parallel with paper for a few weeks, then compare. Once the team trusts the automatic data, paper logging for those parameters can stop.

Step 4: change how the data is used

Digitising only pays off when the data is used. Replace the manual end-of-shift summary with a dashboard anyone can view at any time. Add alarms for critical parameters, so deviations are handled when they happen. Daily or monthly reports can be exported straight to Excel for management and audits.

Step 5: involve the operators

Operators are the main users. Explain that the aim is to free their time from logging, not to watch them. Ask for their input on screens and alarms. Good adoption often decides success more than the technology does, as covered in operator training as the key to IoT adoption.

What about old data

Data from old logsheets and spreadsheets is still valuable as a baseline. If it is well formatted, historical data can be imported into the platform so trends before and after digitisation appear on one chart.

Example: from twelve columns to three

An illustration of a compressor room logsheet with twelve columns filled in every hour: running hours, outlet pressure, outlet temperature, motor current, kWh meter reading, room temperature, oil level, filter condition, abnormal noise, leaks, operator initials, and notes. After the inventory, the first seven columns turn out to be measurable automatically by sensors and an energy meter. What remains for the operator is a visual check of filter condition, abnormal noise, and leaks, ticked once per shift on a digital form.

The time once spent writing numbers now goes into actually inspecting the machine, while measured data is available every minute with alarms when something drifts.

Frequently asked questions

Can every logsheet be replaced by sensors?

No. Measurable parameters such as temperature, pressure, and meters can be automated. Visual inspections and incident notes still need human input.

Do we need to replace old machines?

No. Sensors and meters can be fitted to existing machines, and older PLCs can often be read over Modbus.

What about audit requirements?

Digital data is actually easier to audit, since it is recorded automatically with clear timestamps and can be exported at any time.

Digitising logsheets with INCLUDE

The INCLUDE platform takes data from IncludeBox sensors, energy meters, and Modbus devices read through IncludeGateways, and shows it on dashboards with history, alarms, and Excel export. Historical data can be imported on the Pro plan and above. First steps without replacing equipment are covered in starting monitoring without replacing equipment.