Summary Industrial applications are one of the primary adopters of Internet of Things (IoT) technologies, with business critical operations being informed by data collected across a fleet of sensors. Vopak is a business that manages storage and distribution of a variety of liquids that are critical to the modern world, and they have recently launched a new platform to gain more utility from their industrial sensors. In this episode Mário Pereira shares the system design that he and his team have developed for collecting and managing the collection and analysis of sensor data, and how they have split the data processing and business logic responsibilities between physical terminals and edge locations, and centralized storage and compute.
Announcements
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Interview
Introduction How did you get involved in the area of data management? Can you describe what Vopak is and what kinds of information you rely on to power the business? What kinds of sensors and edge devices are you using?
What kinds of consistency or variance do you have between sensors across your locations?
How much computing power and storage space do you place at the edge?
What level of pre-processing/filtering is being done at the edge and how do you decide what information needs to be centralized? What are some examples of decision-making that happens at the edge?
Can you describe the platform architecture that you have built for collecting and processing sensor data?
What was your process for selecting and evaluating the various components?
How much tolerance do you have for missed messages/dropped data? How long are your data retention period