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.
Aegex IoT Modules include an endpoint, battery, radio, and customized combinations of 46 different sensor nodes, attaching up to 32 nodes on each module. This "plug-and-play" design allows organizations to choose which conditions they want to monitor and easily reconfigure the modules to meet their needs. Data collected by the smart modules can be accessed in real time in hazardous locations by aegex10 Intrinsically Safe Tablets so personnel can immediately analyze and act on it.To capture as much information as possible at any given location, the Aegex IoT Solution is built on these concepts:
Any existing device or future device (no matter the manufacturer) should integrate into a single cloud solution.
When devices are deployed, an interrelationship between sensors and gateways is required to manage remote devices and the diversity of environmental limitations.
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.
Aegex provides an array of intrinsically safe (IS) and non-IS IoT modules to collect operations data, analyze it, and visualize it.
The simple installation of the Aegex IoT system allows organizations to capture and utilize their data in ways that can improve processes and transform operations, yielding better results.
The Aegex IoT Solution includes an array of 46 intrinsically safe sensor nodes 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. Some examples of sensor nodes include:
By transforming business processes through IoE [Internet of Everything] technologies, oil and gas companies can capture their share of the $600 billion of value at stake 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.