For most manufacturing machines, start with parameters such as run/stop status, speed or RPM, production count, temperature and fault state. The exact set depends on the process. Brinito designs the acquisition layer, controller/gateway, database and dashboard around the actual machine and business question.
Start with the decision, not the sensor
Ask what the operator or manager needs to know. Is the goal to identify idle time, compare machine speed, count output, catch overheating or verify a process step? The answer determines what should be measured.
A useful specification normally has four parts: parameter, measurement method, sampling/event rule and action when the value changes. This prevents a project from collecting large volumes of data that nobody uses.
Common machine parameters
Typical manufacturing monitoring projects use a combination of digital states, pulses and analog or digital sensor values.
- Run / stop state from a PLC output, contact, proximity or other machine signal.
- RPM or line speed from an encoder, pulse sensor or existing drive signal.
- Production count from machine pulses or an existing counter.
- Temperature from RTD, thermocouple or digital sensor where relevant.
- Fault, alarm or process-state information from PLC, HMI or discrete signals.
Design the data path
A practical architecture can be simple: machine signal → sensor/interface → controller or gateway → industrial communication → database → dashboard. RS485/Modbus, Ethernet and other interfaces can be selected according to the equipment and environment.
The acquisition device should also handle signal conditioning, debouncing, scaling, validation and communication failures. Those engineering details often determine whether a monitoring system remains reliable on the shop floor.
Make the dashboard answer a question
A management screen should show useful indicators rather than every raw reading. Examples include current speed, production count, runtime, stoppage duration, temperature status and exceptions. Historical data can then support shift, machine or date comparisons.
Plan the next integration step
If the monitoring system will eventually feed ERP or production software, define machine IDs, timestamps, units and event names early. That avoids rebuilding the data model when the business later wants production reports or automated workflows.