Intrinsically Safe IoT Sensors

Simply plugging in a gas sensor or anemometer is not feasible in a hazardous area or large cityscape. Power outlets do not exist in hazardous locations because of the risk of spark in combustible atmospheres; therefore, only devices with the right certifications can be used.

To capture as much information as possible at any given location, the Aegex IoT platform is built on these concepts:

Single Cloud Solution

Single Cloud Solution

Any existing device or future device (no matter the manufacturer) should integrate into a single cloud solution.

Interrelationship between Sensors and Gateways

Interrelationship between Sensors and Gateways

When devices are deployed, an interrelationship between sensors and gateways is required to manage remote devices and the diversity of environmental limitations.

Multi-data Sensor Capture

Multi-data Sensor Capture

Each device deployed should capture a broad array of data, not single-device, single-data input. The cost of deploying a single sensor into a refinery is too high to gain pervasive information; therefore, any single device and its adjacent devices should capture dozens of different types of data to ensure contextual machine learning is accurate and valid.
SensorInsight

Aegex has partnered with SensorInsight to provide an array of IS (intrinsically safe) and non-IS sensors to collect operations data, analyze it, and visualize it.

The simple installation of the IoT system allows organizations to capture and utilize their data in ways that can improve processes and transform operations, yielding better results.

30+ intrinsically safe sensors

The Aegex IoT Platform includes an array of 30+ intrinsically safe sensors that organizations can choose from to place in their hazardous locations. Based on research, some of the fastest returns can be generated by monitoring

Sensors detecting different gases, temperatures, pressures, etc. can provide myriad data that, together, give a holistic view of plant operations. Individual data points, such as wind direction and speed at various elevations, when combined with other data and machine learning, result in the big data that improves processes and can help improve overall efficiency, safety and productivity.

  • Temperature
  • Wind direction
  • Wind Speed
  • Wind Speed, Direction, Rain Gauge
  • Gases (C02)
  • Gases (CO)
  • Gases (CH4)
  • Gases (Ethanol)
  • Gases (LPG)
  • Gases (Hexane)
  • Gases (Smoke)
  • Gases (H2)
  • Gas (Ozone)
  • Gas (Hydrogen Sulfide)
  • Gas (Phosphine)
  • Light Intensity
  • Nuclear Radiation
  • Laser and Trip sensor
  • Sound Intensity
  • Liquid pipe Pressure
  • Fire/Flash
  • Proximity (very short Distance sensor)
  • Humidity
  • Air Pressure
  • Air Quality (Dust)

By transforming business processes through IoE [Internet of Everything], oil and gas companies can capture their share of $600 billion of Value at Stake2 between 2016 and 2025, according to Cisco Consulting Services. For a $50 billion O&G firm, this translates into an 11 percent bottom-line (EBIT) improvement.

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