Project

# Title Team Members TA Documents Sponsor
16 Thermo-Camera Based Energy Consumption Monitoring System
 Boyan Li
Lingjie Zhang
Yutao Zhu
Zheyang Jia
 Adeel Ahmed design_document3.pdf
final_paper1.pdf
proposal1.pdf
 Pavel Loskot
# TEAM MEMBERS:
Yutao Zhu (yutaoz2@illinois.edu 3190110413),

Zheyang Jia (zheyang5@illinois.edu 3190110096),

Boyan Li (boyanl3@illinois.edu 3190110007),

Lingjie Zhang (lingjie3@illinois.edu 3190110913)

# THERMO-CAMERA BASED ENERGY CONSUMPTION MONITORING SYSTEM
# PROBLEM:
In the field of chip and circuit research, power consumption is an important indicator. Thermal imaging is a method to analyze power consumption.

For example, thermal analysis can assist designers to determine the electrical performance and reliability of components on PCB and help determine whether components or PCB will fail or burn out due to overheating.

A circuit board contains many components. We want to simulate the power consumption related to temperature.

At present, due to the different thermal properties of each circuit element, the current thermal imaging equipment is not necessarily flexible and accurate for analyzing circuit power consumption.

Our goal is to design a convenient, dedicated, and accurate thermal imager to assist in the research of chips and circuits.

# SOLUTION OVERVIEW:
To solve the problems mentioned above, we plan to design a thermo-camera and corresponding software to analyze the temperature distribution over a circuit board such as the motherboard of a computer. The product is a cuboid frame with a thermo-camera, a controller, and an image recognition system. The camera's field of view can cover a small PCB or part of a computer motherboard. According to what circuit components we want to analyze, the camera can move to the corresponding location. Knowing the temperatures over the board, we will estimate how much energy is consumed at different parts of the board.

# SOLUTION COMPONENTS:
A thermo-camera that sends images to a computer in real-time.

A bracket capable of three-dimensional movement for placing the thermo-camera.

Image processing software to inform physics-based models of energy consumption in electrical circuits.

A control system for the mobile camera, which is very useful for adjusting its position and zooming to obtain correct real-time image.

The interface between the camera hardware and the image processing software.

# CRITERION FOR SUCCESS:
## DELIVERABLE:
Hardware: A thermo-camera on a bracket with a control system.

Software: Image processing software.

The interface for hardware and software.

## FUNCTIONALITY:
The thermal camera can adjust its position and zoom to obtain the correct image and send it to the computer in real-time.

Users can use image processing software to analyze the energy consumption in the circuit.

The interface between software and hardware should be stable and reliable.

# DISTRIBUTION OF WORK:
ECE Boyan Li:

Develop and implement thermal image segmentation to extract images of electronic components.

Obtain the temperature and energy consumption distribution on the circuit board through the real-time image.

EE Yutao Zhu, Zheyang Jia:

Design and implement the interface between hardware and software so that the camera and the computer can successfully transmit real-time images. And the work on image processing software together with ECE students.

ME Lingjie Zhang:

Make a bracket for placing the camera, which can enable the camera to complete 3-dimensional movement (like the probe of 3D printer) to capture the power consumption of the circuit board.

Augmented Reality and Virtual Reality for Electromagnetics Education

Zhanyu Feng, Zhewen Fu, Han Hua, Daosen Sun

Featured Project

# PROBLEM

Many students found electromagnetics a difficult subject to master partly because electromagnetic waves are difficult to visualize directly using our own eyes. Thus, it becomes a mathematical abstract that heavily relies upon mathematical formulations.

# SOLUTION OVERVIEW

We focus on using AR/VR technology for large-scale, complex, and interactive visualization for the electromagnetic waves. To speed up the calculation, we are going to compute the field responses and render the fields out in real-time probably accelerated by GPU computing, cluster computation, and other more advanced numerical algorithms. Besides, we propose to perform public, immersive, and interactive education to users. We plan to use the existing VR equipment, VR square at laboratory building D220 to present users with a wide range of field of view, high-resolution, and high-quality 3D stereoscopic images, making the virtual environment perfectly comparable to the real world. Users can work together and interact with each other while maneuvering the virtual objects. This project also set up the basis for us to develop digital-twins technology for electromagnetics that effectively links the real world with digital space.

# COMPONENTS

1.Numerical computation component: The part that responsible for computing the field lines via Maxwell equations. We will try to load the work on the GPU to get better performance.

2.Graphic rendering component: The part will receive data from the numerical computation component and use renderers to visualize the data.

3.User interface component: This part can process users’ actions and allow the users to interact with objects in the virtual world.

4.Audio component: This part will generate audio based on the electromagnetic fields on charged objects.

5.Haptic component: This part will interact with the controller to send vibration feedback to users based on the field strength.

# CRITERIA OF SUCCESS

Set up four distinct experiments to illustrate the concept of four Maxwell equations. Students can work together and use controllers to set up different types of charged objects and operate the orientation/position of them. Students can see both static and real-time electromagnetic fields around charged objects via VR devices. Achieve high frame rates in the virtual world and fasten the process of computation and using advanced algorithms to get smooth electromagnetic fields.

# WHAT MAKES OUR PROJECT UNIQUE

We will build four distinct scenarios based on four Maxwell Equations rather than the one Gaussian’s Law made by UIUC team. In these scenarios, we will render both electric and magnetic field lines around charged objects, as well as the forces between them.

The experiments allow users to interact with objects simultaneously. In other words, users can cooperate with each other while conducting experiments. While the lab scene made by UIUC team only allows one user to do the experiment alone, we offer the chance to make the experiment public and allow multiple users to engage in the experiments.

We will use different hardware to do the computation. Rather than based on CPU, we will parallelize the calculation and using GPU to improve the performance and simulate large-scale visualization for the fields to meet the multi-users needs.

Compared to the project in the UIUC, we will not only try to visualize the fields, but also expand the dimension that we can perceive the phenomena i.e., adding haptic feedback in the game and also using audio feedback to give users 4D experience.