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aws iot core blog feature

In this blog we will be exploring AWS IoT services. AWS provides us with loads of IoT services to incorporate IoT devices which can comprise of multiple sensors and actuators. IoT devices can provide real time data, and analytics performed on data enables end users to get valuable insights into their daily operations.

IIoT (Industrial Internet of Things) is an extension of IoT that has enabled industries to perform measures like asset tracking, predictive maintenance, conditional monitoring among others. We will be discussing an IIoT based case study which is about asset tracking and monitoring.

Case Study: Oil Pilferage from Oil Supply Tankers

Problem Statement

It has been observed that oil theft is happening across the world. As per estimation around $ 133 billion worth oil is stolen every year. The major portion of oil pilferage is considered to be caused by supply tankers. Supply management is considered to be the backbone of industries and suppliers play vital roles in that. So in our case study will be focusing on oil supply tankers.

In our case study we will be focusing on IoT services and will be skipping the IoT device part with the belief that we are getting a JSON payload from our devices on our MQTT endpoints.

We will be getting the following JSON payload into our AWS Cloud with the following information: Tanker Id(TID) , Tanker Capacity(CAP), Quantity Delivered(D_QTY), Point of Delivery(LOC) and Available Capacity(A_CAP).

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AWS IoT Services

AWS provides us with many IoT services. The services we will be using are AWS IoT Core , AWS IoT Events and AWS IoT Analytics for this case study.

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As per the above architecture,the devices are sending their payloads to AWS IoT core using MQTT protocols. AWS IoT Core sends those payloads to AWS IoT Events and AWS IoT Analytics completes analysis by defining rules and executing actions. AWS IoT Events allow us to set up an event based alert system which notifies concerned authorities using Amazon SNS (Simple Notification Service). Whereas for reports and graphical insights AWS Analytics is used. The desired analytics as per business requirements are performed on the real time dataset created by payloads.

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Alert Based Supervision

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IoT Event service monitors the data and creates a notification when an abnormality is observed by triggering an event. In our case it issues the notification by sending an email when a tanker supplies oil at an unknown location, quantity supplied is not as per supply plan or if the quantity supplied exceeds available capacity as per the oil terminal.