BattLeDIM

The Battle of the Leakage Detection and Isolation Methods (BattLeDIM) 2020, organized initially as part of the 2nd International CCWI/WDSA Joint Conference in Beijing, China (http://www.ccwi-wdsa2020.com/), aims at objectively comparing the performance of methods for the detection and localization of leakage events, relying on SCADA measurements of flow and pressure sensors installed within water distribution networks. Participants may use different types of tools and methods, including (but not limited to) engineering judgement, machine learning, statistical methods, signal processing, and model-based fault diagnosis approaches.

Cite as:

S. G. Vrachimis, D. G. Eliades, R. Taormina, Z. Kapelan, A. Ostfeld, S. Liu, M. Kyriakou, P. Pavlou, M. Qiu, and M. M. Polycarpou. Forthcoming. “Battle of the Leakage Detection and Isolation Methods,” Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0001601

Website

http://battledim.ucy.ac.cy/

Organizing committee/Contributors

Stelios G. Vrachimis, KIOS Center of Excellence, University of Cyprus, Cyprus
Demetrios G. Eliades, KIOS Center of Excellence, University of Cyprus, Cyprus
Riccardo Taormina, Technical University Delft, the Netherlands
Avi Ostfeld, Technion - Israel Institute of Technology, Israel
Zoran Kapelan, Technical University Delft, the Netherlands
Shuming Liu, Tsinghua University, China
Marios Kyriakou, KIOS Center of Excellence, University of Cyprus, Cyprus
Pavlos Pavlou, KIOS Center of Excellence, University of Cyprus, Cyprus
Mengning Qiu, Technion - Israel Institute of Technology, Israel
Marios M. Polycarpou, KIOS Center of Excellence, University of Cyprus, Cyprus

Requirements

This work uses the EPANET-Matlab-Toolkit which is a Matlab class for EPANET libraries. Please install the toolkit before use. For more information see https://github.com/OpenWaterAnalytics/EPANET-Matlab-Toolkit#EPANET-MATLAB-Toolkit .

Instructions for scoring result files

1. Download and install required software: MATLAB, EPANET-MATLAB toolkit
2. Download code
3. Insert your resutls file in the correct format (see Results Template) in Scoring_Algorithm/SUBMITTED_files
4. Run Scoring_Algorithm.m
5. Follow Command Window instructions to get your score

Results template

Please submit your results in the following format (including spaces):

# linkID, startTime
p1, 2019-02-03 10:00
p23, 2019-05-19 02:05
p234, 2019-08-21 03:00

CodeOcean - Instructions

In case you don't have access to the required software, e.g. MATLAB, try evaluating your results through the CodeOcean computational research platform:

Note: Pending approval of code from CodeOcean. Please retry in a few days

1. https://codeocean.com/
   
2. Create a codeocean account - Sign up
   
3. Activate your codeocean account
   
4. Go to https://codeocean.com/capsule/2366240
   
5. Create your results file in the correct format (Results template)
   
6. Select the folder data and then press the upload icon
   
7. Upload your results in a file named results_data.txt
   
8. You get the message: "The following files already exist and will be overwritten if you proceed". Press "Proceed". (In case the file is not in the folder 'data', drag and drop the results_data.txt file in folder data)
   
9. Press Re-Run in the upper right