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As power electronic system (PES) continue to incorporate complex intra-system communication, understanding and characterizing this communication has become a complex task. Knowing how a system’s communication will behave is vital to ensuring proper operation of these systems. This thesis proposes and outlines a communication testbed that streamlines the development and testing of the communications between the components of PES, and further presents the characterization of communication protocol utilized in these multi-agent PESs. These communication protocols include MQTT, Modbus, or User Datagram Protocol (UDP). Understanding the different behavior of these protocols presents is paramount for the design of PESs.

The paper will discuss the implementation of a novel system using a black box to make the overspeeding ticketing system more robust. The system will provide a physical proof of the drivers driving statistics. The system consist of three parts. First being a black box implementation using a raspberry pi 3b+ on the drivers side. It will track the current speed of the car via OBD-ii port with timestamp. Second being IOT device on the sheriff’s side which can fetch the speed information for past 20 minutes (speed information before vehicle came to compelete stantstill) from the black box and push it to the cloud. And the third part is cloud infrastructure which will receive the information from all the IoT devices and store in a S3 bucket. The sheriff can see the visualization of this data w.r.t. time on IoT device. The system will help sheriff make much informed decision as they will have past driving statistics of the driver. This will also help eliminate the corner cases such as over-speeding ticket when changing lanes or overtaking a vehicle.

Abstract: In this work we address the challenges arising when developing, testing and deploying software for Wireless Sensor Networks. We investigate both pre-deployment software design, as well as efficient post-deployment updates. We present a combined pre-deployment framework that simulates the network as it would be deployed to help in the testing, evaluation and fine-tuning of the system. Additionally, we address the need for post-deployment remote updates of the running code in an efficient and reliable manner. We also describe a real-world application that has motivated our work: the Smart Condo™ project, a system for monitoring patient activities in assisted living environments.

Historically, the United States (US) electric grid has been a stable one-way power delivery infrastructure that supplies centrally-generated electricity to its predictably consuming demand. However, the US electric grid is now undergoing a huge transformation from a simple and static system to a complex and dynamic network, which is starting to interconnect intermittent distributed energy resources (DERs), portable electric vehicles (EVs), and load-altering home automation devices, that create bidirectional power flow or stochastic load behavior. In order for this grid of the future to effectively embrace the high penetration of these disruptive and fast-responding digital technologies without compromising its safety, reliability, and affordability, plug-and-play interoperability within the field area network must be enabled between operational technology (OT), information technology (IT), and telecommunication assets in order to seamlessly and securely integrate into the electric utility's operations and planning systems in a modular, flexible, and scalable fashion. This research proposes a potential approach to simplifying the translation and contextualization of operational data on the electric grid without being routed to the utility datacenter for a control decision. This methodology integrates modern software technology from other industries, along with utility industry-standard semantic models, to overcome information siloes and enable interoperability. By leveraging industrial engineering tools, a framework is also developed to help devise a reference architecture and use-case application process that is applied and validated at a US electric utility.