Project

# Title Team Members TA Documents Sponsor
12 A micro-penetrometer for snow and soil structural analysis
Chenghao Mo
Chenxian Meng
Xing Shen
Zheyan Wu
design_document1.pdf
design_document2.pdf
final_paper1.pdf
final_paper2.pdf
other2.pdf
Shurun Tan
# Problem
When it comes to the disaster like avalanche bulletin and forest fires, we should investigate the landform with a specific technique. Also, this technique can deal with the snow profiling, ski track characterization or snow runaway characterization in snow. Understanding the structural integrity of soil and snow is vital for environmental management, agricultural practices, and civil engineering projects. Soil structure analysis informs us about the risk of erosion, the soil's ability to support plant life, and the stability of structures built upon it. Our project aims to fill the gap in on-site, accurate analysis of these structures and specifically designed for operation at low temperatures. By developing a portable and precise micro-penetrometer, we enable immediate, data-driven decision-making that can enhance safety, productivity, and environmental stewardship.

# Solution Overview
The main challenge of our project is to design an automated electronic control system capable of continuously drilling into different terrains, such as soil and snow, and using highly sensitive sensors at each location to record the penetration force and analyze the microstructural properties. The instrument must maintain a constant velocity during penetration, which requires a precise control mechanism. In addition, we need to design a mechanical system that is portable and field deployable to ensure operation in potentially harsh environmental conditions. We also need a software system to record real-time sensor data for subsequent analysis. Achieving such a high level of performance in a small, energy-efficient package that can withstand the rigors of varying ground conditions is a complex engineering task. It requires innovative approaches and collaborative efforts in mechanical, electrical and computer engineering to overcome these technical challenges.

# Solution Components
## Control subsystem
- piezo-electric force sensor with high accuracy to measure the penetration force at each location
- the encoder of the motor ensures high accuracy in the vertical position
- implement a feedback mechanism to adjust the drilling speed based on the resistance encountered. This will ensure optimal penetration regardless of varying soil or snow densities.
## Mechanical subsystem
- the encoder of the motor ensures high accuracy in the vertical position
- small brush can remove the snow from the gear teeth to avoid jamming of the motor and the rod
- ski pols can be added to the measure unit to make the position stable
- Li-Polymer battery to ensure the power of entire day
- Aluminium profile to make the weight as light as possible so that it can be portable
## Software subsystem
- Real-time data processing: To handle sensor input and control commands efficiently.
- Data analysis algorithms: For interpreting penetration resistance and other measurements.
- User interface: To display data and controls in an easily understandable format.
- Data storage and export: For recording and sharing the collected data.
- Potential integration of machine learning: For advanced pattern recognition in soil or snow structures.

# Criterion for success
There are three main criteria for the success of our project. The first is whether the device is portable. Compared to other similar products on the market today, we think that it’s successful if our device can be carried by one person on their back or by hand. The second criterion is to be able to ensure that the drill bit moves smoothly at a uniform speed through more precise electromechanical control. The final criterion is to have an algorithm that can read the snow or soil data within a reasonable margin of error.

Augmenting AR/VR with Smell

Baoyi He, Yingying Liu, Kaiyuan Tan, Xiao Wang

Featured Project

# TEAM MEMBERS

- **Kaiyuan Tan** (kt19)

- **Baoyi He** (baoyihe2)

- **Xiao Wang** (xiaow4)

- **Yingying Liu** (yl73)

# TITLE OF THE PROJECT

Augmenting AR/VR with Smell

# PROBLEM

Augmented Reality (AR) and Virtual Reality (VR) technologies are rapidly growing and becoming more prevalent in our daily lives. However, these technologies have not yet fully addressed the sense of smell, which is a critical aspect of human experience. The absence of scent in AR/VR experiences limits the immersive potential of these technologies, preventing users from experiencing a full sensory experience.

# SOLUTION OVERVIEW

The solution is to augment AR/VR experiences with smell, enabling users to experience a full sensory experience. This will be achieved by incorporating hardware and software components that can simulate various scents in real-time, in response to events in the AR/VR environment. The solution will consist of a scent-emitting device and software that can track and simulate scents based on the user's location and orientation in the AR/VR environment.

# SOLUTION COMPONENTS

The solution will consist of the following components:

- **Scent-emitting device**: This device will be designed to emit various scents in real-time. It will be portable and lightweight, making it easy for users to carry around during AR/VR experiences.

- **Scent simulation software**: This software will be designed to track the user's location and orientation in the AR/VR environment and simulate scents accordingly. The software will use various algorithms to determine the intensity and duration of scent emissions.

- **AR/VR hardware**: The solution will require AR/VR hardware to create the immersive environment. This hardware will include AR/VR headsets, controllers, and other peripherals necessary to interact with the AR/VR environment.

# CRITERION OF SUCCESS

The success of the project will be determined by the following criteria:

- **Immersive Experience**: The solution must provide an immersive AR/VR experience that incorporates smell as a key sensory input.

- **User Acceptance**: The solution must be accepted by users, who should be able to appreciate and enjoy the experience.

- **Technical Feasibility**: The solution must be technically feasible and reliable, with a low latency and high accuracy in scent simulation.

- **Scalability**: The solution should be scalable and adaptable to different AR/VR environments and hardware configurations.

- **Safety**: The solution must be safe for users and the environment, with proper ventilation and control mechanisms to prevent any harm or discomfort caused by excessive or inappropriate scent emissions.

# DISTRIBUTION OF WORK

- Model various scenerios based on AR/VR hardware. *(Tan)*

- Design algorithms which output the intensity and duration of scents based on the constructed scenerios. *(He & Liu)*

- Merge the scene with scents smoothly. *(He & Wang & Liu)*

- Design a protable scent-emitting device. *(Wang)*

- Test using real scents, invite people to experience and adjust based on feedback. *(All)*