How Smart Are Your Connected Devices? Using Spark and ThingSpan to Provide IIoT Predictive Analytics for Smart Homes.
The Industrial Internet of Things covers a very wide range of devices and systems that interact with one another or dedicated services over the Internet. Although such systems have been deployed by specialist companies, such as building control system suppliers, there has been a recent upsurge in interest in developing unified protocols and standards for IIoT infrastructure. IIoT covers a wide range of disciplines, but they can be grouped as follows:
IIoT Cloud Platforms
Network Infrastructure & Sensors
Big Data Learning
Manufacturing & Supply Chain
Extraction & Heavy Industry
Utilities and Smart Grid/City/Home
Transportation & Fleet.
The infrastructure and techniques share a lot in common with the consumer/retail IoT domain, so in this first look at applying Spark and ThingSpan in IIoT applications we will look at a simple Smart Home application as the techniques employed are applicable to both domains.
Human Intelligence (HUMINT) consists of a huge graph of connected snippets of information about criminals and terrorists, plus analyst reports and a wealth of background information. In this example, we will deal with data that is primarily about telephone metadata, which includes Call Detail Records and the people involved in the calls.
We will look for suspicions patterns of calls, and, if we find any, we will try to determine whether any of the people involved has been seen sighted near a potential target, such as an important government facility.