Project

# Title Team Members TA Documents Sponsor
1 Smart Sprinkler Robot System
Area Award: Conservation
Denis Kurtovic
Jose Orozco
Kevin Johnson
appendix0.pdf
design_document0.pdf
final_paper0.pdf
presentation0.presentation
proposal0.pdf

Our project goal was to make a robotic sprinkler system that can detect soil moisture content and check online weather forecasts to determine whether the ground needs to be watered. After completing our product, we were able to meet all of our requirements.



The two main parts of this design are the sprinkler robot and the base station. The base station checks the weather forecast to determine if the chance of precipitation is low enough to warrant watering for the day. If the chance of rain is high enough, then the robot will not be deployed; otherwise, it will send the robot out to measure the soil moisture at specific points on the lawn. The sprinkler robot measures the soil moisture by deploying a two-point-probe into the ground to measure resistance. This data is then sent wirelessly to the base station where it determines whether or not to water that area. If it is determined the area needs watering, then the robot will turn on its sprinkler system and water the area until the base station tells it to stop. After that, the robot moves on to the next area that the base station tells it to go to. When the robot is finished, it returns to the base station.



This product is commercially viable because it is a smart watering system that does not require the installation of multiple expensive pipes and probes. It both reduces the water waste of a traditional sprinkler system while still allowing for it to be transported to a new location.



This project was sponsored by MIT Lincoln Laboratory.

BusPlan

Aashish Kapur, Connor Lake, Scott Liu

BusPlan

Featured Project

# People

Scott Liu - sliu125

Connor Lake - crlake2

Aashish Kapur - askapur2

# Problem

Buses are scheduled inefficiently. Traditionally buses are scheduled in 10-30 minute intervals with no regard the the actual load of people at any given stop at a given time. This results in some buses being packed, and others empty.

# Solution Overview

Introducing the _BusPlan_: A network of smart detectors that actively survey the amount of people waiting at a bus stop to determine the ideal amount of buses at any given time and location.

To technically achieve this, the device will use a wifi chip to listen for probe requests from nearby wifi-devices (we assume to be closely correlated with the number of people). It will use a radio chip to mesh network with other nearby devices at other bus stops. For power the device will use a solar cell and Li-Ion battery.

With the existing mesh network, we also are considering hosting wifi at each deployed location. This might include media, advertisements, localized wifi (restricted to bus stops), weather forecasts, and much more.

# Solution Components

## Wifi Chip

- esp8266 to wake periodically and listen for wifi probe requests.

## Radio chip

- NRF24L01 chip to connect to nearby devices and send/receive data.

## Microcontroller

- Microcontroller (Atmel atmega328) to control the RF chip and the wifi chip. It also manages the caching and sending of data. After further research we may not need this microcontroller. We will attempt to use just the ens86606 chip and if we cannot successfully use the SPI interface, we will use the atmega as a middleman.

## Power Subsystem

- Solar panel that will convert solar power to electrical power

- Power regulator chip in charge of taking the power from the solar panel and charging a small battery with it

- Small Li-Ion battery to act as a buffer for shady moments and rainy days

## Software and Server

- Backend api to receive and store data in mongodb or mysql database

- Data visualization frontend

- Machine learning predictions (using LSTM model)

# Criteria for Success

- Successfully collect an accurate measurement of number of people at bus stops

- Use data to determine optimized bus deployment schedules.

- Use data to provide useful visualizations.

# Ethics and Safety

It is important to take into consideration the privacy aspect of users when collecting unique device tokens. We will make sure to follow the existing ethics guidelines established by IEEE and ACM.

There are several potential issues that might arise under very specific conditions: High temperature and harsh environment factors may make the Li-Ion batteries explode. Rainy or moist environments may lead to short-circuiting of the device.

We plan to address all these issues upon our project proposal.

# Competitors

https://www.accuware.com/products/locate-wifi-devices/

Accuware currently has a device that helps locate wifi devices. However our devices will be tailored for bus stops and the data will be formatted in a the most productive ways from the perspective of bus companies.