# Talks AICHE 2018

## AICHE 2017 Pittsburgh

Junyao Xie and Stevan Dubljevic, “**Process Monitoring and Leakage Diagnosis for Distributed Pipeline System Based on Discrete Observer and Moving Horizon Estimation**”, AIChE Annual Meeting, Pittsburgh, PA, October 31, 2018

Junyao Xie and Stevan Dubljevic, “**Discrete Observer and Kalman Filter Design for Pipeline State Estimation and Leak Detection**”, 68th Canadian Chemical Engineering Conference (CChEC), Toronto, October 29th, 2018.

This work is supported by **Enbridge Inc**, https://www.enbridge.com/

# Talks AIChE 2017

## AICHE 2017 MINNEAPOLIS Talk IV

#### Pipeline Big Data Analysis - Leak Localization

#4, 103F room Thursday, November 02, 2017 08:00 AM - 08:17 AM

#### Pipeline Energy and Environmental Economics

- 55,377 km of gas pipelines
- 28,181 km of liquid pipelines
- Move 28% of crude oil produced North America and 23% of natural gas consumed in the United States
- Workforce of 15,400 people
- $27B+ in secured capital projects for growth
- No.12 on the 2016 Newsweek Green Rankings
- Environmental issues
- Insurance and leak prevention (pipeline integrity)

#### Pipeline inspection

- Inertial Measurement Unit
- External signal sink-source communication

#### Leak position localisation

- Measurements of IMU unit
- Gyroscopes rotation angles $latex \omega_1$, $latex \omega_2$, $latex \omega_3$ - Euler angles
- Linear translation motion $latex a_x, a_y, a_z$-acceleration
- Magnetometer

- Error of integration prevents accurate localization (known problem in aerospace engineering)

\begin{equation} a_{x}=\frac{d^2x}{dt^2}\end{equation}

the measurement error is accumulated by double integration of $latex a_x $ signal

\begin{equation} x(t)=\int \int a_{x}d\tau\end{equation} - Practical solution is dead-reckoning
- The IMU chip is designed to be placed in the geometric center of the ball in order to prevent the error during rotation.
- The position of the battery is designed to keep the mass balance of the robot.

#### Big Data Analysis

#### Big Data Processing

#### Experimental Results

#### Experimental Results

#### Summary

- Leak localization is explored
- Issues of drift associated with IMU are addressed
- Fusioon algorithm
- Deep Neural Network

- Data exploration for large number of deployed swimbots

Future work:

- Bayesian inference
- Several agent swimbots with communication protocol

Created: 2017-11-06 Mon 18:48

This work is licensed under a Creative Commons Attribution 4.0 International License.