Project

# Title Team Members TA Documents Sponsor
2 A Desktop-Size Environment-Controlled Greenhouse for Multi-Variable Optimization of Crop Growth
 Haoyu Qiu
Taoran Li
Ze Yang
Zhimin Wang
 Qi Wang design_document2.pdf
final_paper1.pdf
proposal2.pdf
 Wee-Liat Ong
TEAM MEMBERS:
Zhimin Wang (zhiminw2@illinois.edu 3180110982),
Ze Yang (zeyang2@illinois.edu 3180111602),
Taoran Li (taoranl2@illinois.edu 3180110750),
Haoyu Qiu (haoyuq2@illinois.edu 3190110672)

A DESKTOP-SIZE ENVIRONMENT-CONTROLLED GREENHOUSE FOR MULTI-VARIABLE OPTIMIZATION OF CROP GROWTH

PROBLEM:
Greenhouse production plays a significant role in modern agriculture, especially in densely populated areas such as eastern China. The large-scale and medium-scale greenhouses are a productive system that allows us to respond to the growing global demand for fresh and healthy crops throughout the year, which is widely applied in agricultural production. Traditionally, small-scale greenhouses are usually used in agricultural experiments. Researchers cultivate their plants in a modular environment-controlled greenhouse, to gather data on the state of crop growth in a highly specified and optimized environment. However, in most cases, traditional greenhouses are not intended for ordinary consumers. Several obstacles remain to be solved for a customer greenhouse product:
1. Too large size, excessive energy consumption, not appliable for household use.
2. It is very inconvenient to install and carry away, making it unsuitable for customers to use.
3. The greenhouse environment is not easily controlled because its climate parameters are interrelated.
4. There is no full-featured app to adapt to product use.

SOLUTION OVERVIEW:
To solve the problems mentioned above, we plan to design a desktop-size environment-controlled greenhouse that can be used for ordinary customers. To reduce its size and energy consumption, only the necessary components would be kept in the product. The product is a cube space with an environment-controlling system. All the control functions will be implemented through the app on the mobile phone. The whole product's size is strictly controlled to be desktop-level. The energy consumption should be limited to about the same as general household appliances.

SOLUTION COMPONENTS:
1. Main planting cube. The model should be able to hold a fully functional environment-controlling system.
2. The environment-controlling system includes: adjustable LEDs, a temperature controlling system, water waste collection & disposal, a filter for the input gas, a fan for outputting the fresh air, and a camera to monitor the plants.
3. Environment detectors: a. Temperature. b. Illumination detector. c. Air quality.
4. A mobile phone app that can receive the data and adjust the settings.

CRITERION FOR SUCCESS:
1. Desktop-level appliance with appropriate size & energy consumption.
2. A main controlling system based on STM32.
3. Fully functional environmental parameters detection.
4. App to control the function of the product.

DIVISIONS OF LABOR AND RESPONSIBILITIES:
All members would contribute to the design and process of the project. Taoran Li will be responsible for the model design including CAD modeling. He will cooperate with Haoyu Qiu, who is responsible for the main control system design. They will mainly be responsible for the hardware part. Zhimin Wang and Ze Yang will mainly participate in the app development. Zhimin Wang will be mainly responsible for the API and interface between hardware and software. Ze Yang will be responsible for the software design. Everyone should be responsible for their parts of the written work. Finally, testing would be held by all of us together.

Fixed wing drone with auto-navigation

Ziyang An, Zhanhao He, Yihui Li, Zhibo Teng

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