Project :: ECE 445 - Senior Design Laboratory

#	Title	Team Members	TA	Documents	Sponsor
17	Arduino-Powered Network Flow Visualization Toolbox	Bolin Zhang Jiahao Fang Yiyang Huang Ziyuan Chen		design_document2.pdf design_document3.pdf proposal1.pdf proposal2.pdf	Pavel Loskot
	## PROJECT DESCRIPTION Many real-world systems involve flows over networks. Our team aims to build a modular, reconfigurable hardware emulator to visualize network flows under capacity constraints on links. Each node can be configured to act as a sink, a source, or a "transfer station" that holds zero flux. This toolset will facilitate the understanding of flow optimization algorithms in a classroom setting. ## SOLUTION OVERVIEW We use a scalable design where components are easily replaceable to account for network expansion. The emulator should have a central Arduino controller that talks to each node and link to display the capacities and actual flow amounts. Tentative: It may be desirable to have a software GUI to display the network alongside the physical model due to space (# LEDs) and protocol (# pins) constraints in each node/link. ## SOLUTION COMPONENTS ### Subsystem 1: Physical Network Model - We should build a fully functional physical model where pipes represent network links and the LEDs within show the maximal capacity and real-time flow of "data packets." - Each node should be configurable as sink, source, or neither ("transfer station") with a user-friendly interface such as buttons or switches. ### Subsystem 2: Software Flow Computer - We should build an intuitive software interface that allows the user to easily configure nodes (3 modes) and links (capacity) while controlling the LED flow display. - We should implement a robust and lightweight optimization algorithm that efficiently computes network flows on an embedded Arduino board while considering all constraints (node configurations, link capacities). - Alongside the design process, we should write comprehensive documentation detailing the manuals for software setup, operation, troubleshooting, and our development process. ## CRITERION OF SUCCESS - The physical model should be modular, i.e., each node has a certain number of "slots" reserved for installing new links (pipes). - The Arduino software should communicate with all nodes and pipes and update the flows in real-time in response to changes in setup. At the current stage, we aim to serve 4~6 fully connected nodes. - The algorithm should handle (and report) edge cases such as a network with zero or multiple feasible flows. ## DISTRIBUTION OF WORK - Ziyuan Chen (ECE) - software developer: maintain the code for flow optimization and Arduino-hardware communication protocol - Bolin, Jiahao (EE) - hardware developer: handle the physical layout of peripherals (pipes and LEDs), design user interface - Yiyang Huang (ME) - integration and testing specialist: design the protocol for node configuration and conduct stress tests in edge cases

Featured Project

# Fixed wing drone with auto-navigation

## Group Members

**Zhibo Teng** NetID: zhibot2

**Yihui Li** NetID: yihuil2

**Ziyang An** NetID: ziyanga2

**Zhanhao He** NetID: zhanhao5

## Problem

Traditional methods of data collection, such as using manned aircraft or ground surveys, can be time-consuming, expensive, and limited in their ability to access certain areas. The multi-rotor airfoil UAV being used now has slow flight speed and short single distance, which is not suitable for some long-distance operations. Moreover, it needs manual control, so it has low convenience. Fixed wing drones with auto-navigation can overcome these limitations by providing a cost-effective and flexible solution for aerial data collection.

The motivation behind our design is to provide a reliable and efficient way to collect high-quality data from the air, which can improve decision-making processes for a variety of industries. The drone can fly pre-determined flight paths, making it easier to cover large areas and collect consistent data. The auto-navigation capabilities can also improve the accuracy of the data collected, reducing the need for manual intervention and minimizing the risk of errors.

## Solution Overview

Our design is a fixed wing drone with auto-navigation capabilities that is optimized for aerial data collection. The drone is equipped with a range of sensors and cameras, as well as software that allows it to fly pre-determined flight paths and collect data in a consistent and accurate manner. Our design solves the problem of inefficient and costly aerial data collection by providing a cost-effective and flexible solution that can cover large areas quickly and accurately. The auto-navigation capabilities of the drone enable it to fly pre-determined flight paths, which allows for consistent and repeatable data collection. This reduces the need for manual intervention, which can improve the accuracy of the data and minimize the risk of errors. Additionally, the drone’s compact size and ability to access difficult-to-reach areas can make it an ideal solution for industries that require detailed aerial data collection.

## Solution Components

### Subsystem #1: Aircraft Structure and Design

* Design the overall structure of the plane, including the wings, fuselage, and tail section

* Use 3D modeling software to create a digital model of the plane

* Choose materials for construction based on their weight, durability, and strength

* Create a physical model of the plane using 3D printing or laser cutting

### Subsystem #2: Flight Control System

* Implement a flight control system that can be operated both manually and automatically

* For manual control, design a control panel that includes a joystick and other necessary controls

* For automatic control, integrate a flight controller module that can be programmed with waypoints and flight parameters

* Choose appropriate sensors for detecting altitude, speed, and orientation of the plane

* Implement algorithms for stabilizing the plane during flight and adjusting control surfaces for directional control

### Subsystem #3: Power and Propulsion

* Choose a suitable motor and propeller to provide the necessary thrust for the plane

* Design and integrate a battery system that can power the motor and control systems for a sufficient amount of time

* Implement a power management system that can monitor the battery voltage and ensure safe operation of the plane

### Subsystem #4: Communication and Telemetry

* Implement a wireless communication system for transmitting telemetry data and controlling the plane remotely

* Choose a suitable communication protocol such as Wi-Fi or Bluetooth

* Develop a user interface for displaying telemetry data and controlling the plane from a mobile device or computer

## Criterion for Success

1. Design and complete the UAV model including wings, fuselage, and tail section

2. The UAV can fly normally in the air and realize the control of the UAV, including manual and automatic control

3. To realize the data monitoring of UAV in flight, including location, speed and altitude

## Distribution of Work

**Zhibo Teng:** Aircraft Structure and Design

**Yihui Li:** Aircraft Structure and Design

**Ziyang An:** Flight Control System Power and Propulsion

**Zhanhao He:** Flight Control System Communication and Telemetry