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aRTi-D™ PM, Predictive Maintenance of Industrial Equipment

▶ What is it and how it works?

An integrated solution (Hardware & Software) for the continuous monitoring, anomaly detection &
predictive analysis of industrial machinery powered by artificial intelligence and Internet of Things
technologies.

▶ Data collection

  • Real-time monitoring and/or control of production assets.
  • Secure, web-based access to machine data.
  • Integration of different measurements from any new or existing data source (sensors, image, sound, etc.).
  • Support multiple types of sensors (analog, 4-20mA, voltage, digital interfaces, etc.).
  • Edge-based apps to pre-process data for analysis, predictions and optimization.
  • Expandability to meet future needs simply by adding additional devices.
  • Increased flexibility: Wired/wireless.
  • Installation and direct operation (plug n' play).
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Understand the machines’ behavior during operation.

Systematic detection of anomalies and localization.

Automated prediction of the remaining operating time.

Continuous data analysis to detect the cause.

▶ Data Analysis

▶ Information Visualization

Global View

Global View
  • All sites in one map
  • Failure probability per site
  • Site performance comparison

Site View

Site View
  • View all machines in one screen
  • Machine status
  • Machine Comparison
  • Energy consumption

Machine View

Machine View
  • Health Status
  • Anomalies detection
  • Failure Prediction
  • Heat Map
  • Cross-sensor correlations
  • Maintenance work orders

Sensor View

Sensor View
  • Root-cause analysis
  • Anomalies file
  • Measurements log
  • Frequency field
  • RMS Monitoring
  • Threshold monitoring

▶ Production Asset Monitoring

Parameters

  • Temperature
  • Humidity
  • Vibration
  • Pressure
  • Current
  • Ultrasound
  • Image
  • Gas
  • Fuel Consumption

Points of Interest

  • Engines
  • Pumps
  • Generators
  • Fans
  • Compressors
  • Valves
  • Refrigerators
  • Gearboxes
  • HV/AC

Root-Cause analysis

  • Imbalance
  • Belt shaft
  • Eccentricity
  • Misalignment (Angular & Parallel)
  • Looseness
  • Belt drive problems
  • Gear defects
  • Bearing defects
  • Cavitation
  • Shaft cracks
  • Leaks

▶ Benefits

  • 10%-25% Increase in production and efficiency
  • 30%-40% Reduction in downtimes
  • 30%-50% Reduction in maintenance costs
  • 25%-30% Increase in the asset availability
  • 100% Timely and effective decision-making at all levels 24/7

▶ FIND US

Alexandroupolis

Andrianoupoleos 27,

68131, Alexandroupolis, GR

info@seems.gr - +30 2551023116

Thessaloniki

Platonos 42, 55236,

Panorama - Thessaloniki, GR

info@seems.gr - +30 2317 009 269

▶ SEEMS

SEEMS is a hi-tech start-up established in Alexandroupolis, Greece. The Company is focused on IoT solutions development employing Artificial Intelligence techniques.

SEEMS is built on a team of inspired and hardworking innovation explorers developing progressive technological solutions to improve the daily quality of life.

© 2017 | SEEMS