What is IDA

IDA (IoT Data Analytics) is Maxfone's application that collects data from the machines, meters and sensors of a plant, keeps it in one place and turns it into readable information: consumption, costs, emissions, production efficiency, maintenance deadlines.

The starting point is not a dashboard, it is the data. Before any chart, the measurements need to exist, to be comparable and to live in the same database: from there on, the questions the company can ask no longer depend on which vendor installed which machine.

Which data comes in

IDA is not tied to one family of quantities. Anything a field instrument can measure comes in:

• electrical energy, power, consumption time bands;
• other energy carriers and fluids: gas, water, compressed air, steam;
• process and environmental quantities: temperature, pressure, flow rate, vibration, air quality;
• production signals: machine state, count of Units produced, cycles, rejects.

The same measurement then serves several readings: the electricity consumption of a line is a cost for administration, an emission for the sustainability report and a hint of anomaly for maintenance.

What it answers

Fragmented data. In almost every plant the data already exists, but it lives on separate islands: one meter has its display, one machine its panel, another a file nobody opens. Relating them is impossible as long as they stay in different systems. IDA connects heterogeneous equipment, regardless of manufacturer, protocol and age of the plant, and brings it onto a common database.

Consumption without attribution. Knowing how much the whole plant consumes does not say where to act. Measuring by department, line and machine turns a utility bill into a list of items you can act on.

Downtime discovered after the fact. Condition-based alarms and planned maintenance move the intervention before the failure, instead of after it.

Production efficiency without numbers. OEE computed on the machine's real signals replaces shop-floor impressions with a measure that can be compared over time.

What it does in practice

• Continuous monitoring: measurements arrive from the field and stay available both as current values and as browsable history.
• Alarms and notifications: rules on thresholds, conditions and time windows, with notifications to the people who need to act.
• Productivity and OEE: availability, performance and quality computed on machine data.
• Maintenance: periodic, counter-based and condition-based plans, with a log of interventions.
• Costs and emissions: consumption becomes monetary values and CO₂ equivalent estimates, useful for environmental certification paths as well.
• Reports: periodic summaries of the same data, for those who do not open the application every day.

How you access it

IDA is a web application: you use it from the browser, in the office or from a tablet on the shop floor, with no software installed on workstations. The installation work concerns the field, not the users.

To understand the vocabulary used in the rest of the documentation, the glossary collects the recurring terms.