Predictive Maintenance at a glance!

S-Node is a machine learning and IoT-driven predictive maintenance tool created for measuring the various parameters of equipment to forecast its health. The S-Node can detect any discernible defect. A compact and low-power sensor node that communicates with one another via a mesh network to transfer raw data to the cloud via a gateway.

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  • Snode Details
  • Snode Details
  • Snode Details
  • Snode Details
  • Snode Details
  • Snode Details
  • Snode Details
  • Snode Details
  • Snode Details

Predictive Maintenance at a glance!

S-Node is an IoT-driven predictive maintenance tool that is designed for measuring the various parameters of equipment to predict its health.

S-Node is the flagship product of Dotcom IoT LLP, and it is created for Industry 4.0 to make predictive maintenance simple without prior knowledge of IoT and machine learning.

S-Node is a tiny, truly plug-and-play sensor node designed to enable predictive maintenance at a fingertip.

Misalignment, unbalance, bent shafts, cavitation, triaxial vibration, temperature, and other defects can be measured using the S-Node.

A compact, low-power sensor node communicates with each other via a mesh network to transfer raw data to the cloud via a gateway.

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Specifications

S-Node device offers accurate and real-time information, ensuring the health of the machine.

Sensing elements:

Mounting Type

Neodymium Magnet

Processor

32-bit ARM® Cortex TM -M4

Security

Mbed TLS (AES-EBC,ECJ-PAKE, and SHA256)

Firmware Update

Over The Air Update

Battery

500mAh / 3.7V, LiPo battery

Battery Life

2 to 3 Years

Networking Protocol

MQTT

Communication Stack

Open Thread

Sensing Elements

S-Node can sense various parameters based on industry needs.

3D vibration

To detect the misalignment, imbalance, looseness.

6D Motion

To detect the mechanical faults of machines.

Proximity

To measure the variation in distance between a shaft and its support bearing.

Acoustic

To detect the mechanical vibrations in a solid material of equipment.

Environmental

To detect the leaks and moisture, temperature, humidity.

RPM

To detect the position of rotating equipment and speed.

IR Thermal

To detect the temperature inside the equipments.

GAS

To detect gas emissions in several industries.

Indoor IAQ

To monitor the environment around individual.

Supported Equipment's

S-Node can detect various parameters of several pieces of equipments. Several equipments are supported by S-Node.

Motors

Unbalance, misalignment, and resonance failures can be entified.

Bearings

Of the most diverse types, identify problems like the mechanical looseness and foundation failures.

Compressors

The vibration analysis detects wear and overload on the shaft, among others.

Pumps

The sensors detect signs of excess temperature and balance.

AHU’S

Detect heating and engine defects.

Fans

Misalignment of belts and bearing defects can be noted.

Press

Identify failures in the servo motors, steering wheels, and friction in joints.

Gearboxes

Unbalance, misalignment, and bearing issues are automatically detected.

Turbines

Detect unbalance and interlocking.