IO-Link Benefit Predictive Maintenance 2

SCENARIO 2

PREDICTION OF MAINTENANCE NEEDS WITH CONDITION MONITORING

Understanding unstable situations in advance, through proximity sensor detection to perform advance corrections, reducing sudden stops.

EXISTING PROBLEMS

A. In a conveyance process operating for 24 hours, debris and dust are accumulated on the detection surface of the through-beam photoelectric sensor, leading to a decline in the light incident level. This causes the sensor to make false detection of errors.

B. Water drops stick to the sensing surface of the reflective sensor, causing relected light to enter. Light incident level declines, leading to false detection of errors

With an IO-Link Photoelectric Sensor

A LIGHT INCIDENT LEVEL MONITOR
PREVENTS FALSE DETECTION

How It Works
With a response time of 1ms, the IO-Link Photoelectric Sensor is able to monitor the light incident level.

Predictive Maintenance To Prevent False Detection
When the light incident level exceeds the instability detection threshold, the maintenance engineer will receive the notification on his display, and perform predictive maintenance before false detection occurs.

SOLVE “STOP LOSS” ISSUES AND IMPROVE EQUIPMENT OPERATION RATE

Shortest
Recovery

Predictive
Maintenance

Efficient
Setup Change

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PREDICTION OF MAINTENANCE NEEDS WITH CONDITION MONITORING

EXISTING PROBLEMS

EXISTING PROBLEMS

A LIGHT INCIDENT LEVEL MONITORPREVENTS FALSE DETECTION

SOLVE “STOP LOSS” ISSUES AND IMPROVE EQUIPMENT OPERATION RATE

Do you want to reduce costly downtime trying tolocate faulty sensors in a large plant?

A LIGHT INCIDENT LEVEL MONITOR
PREVENTS FALSE DETECTION

Do you want to reduce costly downtime trying to
locate faulty sensors in a large plant?