Track M | Big Data and IoT
The Industrial Internet of Things (IIOT) is made up of a multitude of sensors, smart control panels, and other industrial assets connected by networks that allow for data acquisition and streamingto cloud servers where a host of applications can be applied to these databases. Real time or batch analytics can be run on these sets of big data that automatically detect system operating anomalies, faults, or inefficient operations. Once an event is detected and categorized, this knowledge or situational awareness can be transferred to the right personnel for immediate resolution. In some instances, machines can adjust themselves automatically without human intervention. An example of one such IIOT application would be a compressed air system. System sensors can be installed to measure key performance indicators such as mass flow, pressure, temperature and power.These KPIs can be tracked to evaluate system efficiency and how it compares to an ideal system.Once inefficiencies are identified, system audits can pinpoint exact areas of inefficient operation and corrective measures can be applied.Once the system is operating in the most efficient manner, a performance envelope is developed and analytics are run in real time to insure the system remains in an optimal state.Likewise, control panel data from individual compressors can be collected and analyzed in a similar manner for early warnings of equipment failure that include vibration, temperature, or pressure problems –even electrical issues such as voltage or amperage imbalances can be detected.Case studies of actual industrial installations will be presented to demonstrate the value of IIOT projects in compressed air system applications.
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