IOEYE PREDICT IOT SENSORS

Robust industrial grade vibration and ultrasound PoE IoT sensor.

POE IP68 ML/AI

PoE powered rugged industrial sensor for predictive maintenance measures overall and spectrum values for vibration, ultrasound, magnetic flux, RPM, run-hours and temperature. Specially designed for fault predictions and reliability management of low RPM machines.

C200X

Multiple sensors packed into one

ioEYE Predict IIoT sensors captures multiple machine parameters to provide accurate fault prediction.

TRI AXIAL VIBRATION

Enables detecting mechanical defects like misalignment, imbalance, bearing wear, etc.

ULTRASOUND

Detects very early faults in bearings, cavitation, cracks and lubrication issues.

MAGNETIC FLUX

Provides a basic indication into the induction motor rotor insulation wear and shorted turns.

TEMPERATURE

Provides a second critical piece of information for trending, correlation and supporting data.

RUN HOURS

Correlating it with other sensor data can provide added validation into aging-related defects.

TCP/IP MODBUS

We offer a convenient solution for controllers running the Modbus serial protocol to Modbus TCP networks.

Interested in evaluating ioEYE Predict IIoT PoE vibration sensors?

Better visibility across your entire operation

How predictive maintenance sensors work?
How predictive maintenance sensors work?

Applications Used

Built with precision, durability, and advanced technology for

unparalleled efficiency in your industrial operations.

MOTOR

CONVEYOR

PUMP

FAN & BLOWER

GEARBOX

AGITATORS

Wide frequency response

Stores up to 400 vibration events of 1600 LOR and up to 800 vibration events of 800 LOR

Supports Stud or Epoxy Mounting for reliable long term installation. Use the Magnetic mount for quick and temporary mounting.

Overall and Spectrum Measurements

Measures overall measurements like velocity and acceleration for trending time waveform and spectrum for fault categorization.

Automatic Data Acquisition

Acquire data autonomously via the IoT Gateway or manually the mobile app.


Event Triggered and Periodic Recording

Use periodic recording e.g. every few hours, or at a specified time and day.  Or set trigger (like off-on, acceleration, RPM, etc) based event recording.

Secure

Secure open SSL encryption sensor.

Rugged

SS 316 make it one of the most chemically resistant wireless sensor.

IIoT Enabled

Configure remotely from the cloud via the mobile app. Update firmware easily over the mobile app or desktop.

Want to get started with ioEYE Predict?

Technical Specifications

SENSOR

Accelerometer: Tri-axial ±64 g or ±16 g (factory selectable)Sensitivity: 4096 counts/g
Frequency Response:  8200Hz (x), 8500Hz (y), 5600Hz (z)LOR: 400 /800 /1600/3200/6400.

Ultrasonic :Omnidirectional 20KHz – 80KHz (RMS)
Temperature: -40°C ~ +125°C (±2°C)
Magnetic Flux: Tri-axial ±16 gauss
RPM: 100-10000, Accuracy ±2%. RPM triggered
recording functionality for VFD machines. Please check installation manual for more details.

Dimensions: 60 x 60 x 100 mm(±1) LxBXH
Weight :205 gm 
Mounting: Stud, Epoxy  or Magnetic mounting
Enclosure: SS316, O-Ring Chloroprene 70 ShA ID (mm):47.29 CS (mm): 2.62 BS134
RJ45 Connector: Zn/Cu Alloy, Ni Plated, Silicone Gland.
IP Rating: IP68

ENVIRONMENTAL

Temperature Working: -40°C to +85°C (Ambient)

Mounting Surface: -40°C to 100 °C (For higher surface temperatures use an thermal insulation block)

Temperature  Storage: -20°C to 60°C 

Certifications: CE, RoHS, UL94-V0

SYSTEM

CPU: 400 MHz

Memory: 1MB SRAM

Storage: 16MB for data logging. Stores up to 400 vibration events of 1600 LOR and up to 800 vibration events of 800 LOR

Power Source: Power Over Ethernet (PoE)  IEEE 802.3af

Communication Ports

Ethernet: RJ 45 PoE x 1, IEEE 802.3af, 10 Mbps, 10Base-T, Max Distance 100 meters from switch.

Modbus TCP/IP: Slave, see manual for register map.

IIoT Features

Cloud: Connects to ioEYE Predict cloud for OTA/FOTA, remote configuration and data exchange.

Security : TLS 1.2 encryption for all communication with cloud.

User Interface: Local web page for configuration network and modbus and show diagnostics.

ioEYE Predict makes PdM affordable and even more powerful

IoT Sensor

ACQUIRE CONTINEOUS MACHINE HEALTH DATA

ML & AI

PREDICT FAULTS ACCURATELY

AUTONOMOUS

Now collect asset predictive maintenance data without human intervention and error, 24 x 7. Free up the time your team spends on data collection via an handheld.

ANYWHERE

Now access your machine’s health and diagnostic data from anywhere using a mobile phone. Digital transformation for your maintenance team.

ADVANCE

ioEYE Predicts assist you in identifying machines that need attention. The area where they need attention. The advance analytical tools can help you do a root cause analysis and support your decisions.

AFFORDABLE

We have used the latest technology while striking a balance between affordability and features. It is designed to get the work done cost effectively.