Even Falkenberg Langås

Digital Twin of Water Treatment Plant

At Twilligent, I developed a digital twin of a water treatment plant for Slamrensing AS, who delivers mobile treatment plants for construction sites. This tool helps construction workers do troubleshooting and maintenance with an intuitive 3D interface.

Digital Twin of Water Treatment Plant

This project focused on developing a digital twin for Slamrensing AS's water treatment plants that are deployed at construction sites throughout Norway. The digital twin provides real-time monitoring, troubleshooting assistance, and maintenance guidance through an intuitive 3D interface.

The Challenge

Slamrensing AS operates over 50 water treatment plants at construction sites across Norway. They faced several challenges:

  • Non-intuitive interfaces made it difficult for operators to understand and interpret system errors
  • Technicians had to be dispatched to physical plants to diagnose issues, causing delays and inefficiencies
  • Limited real-time monitoring capabilities
  • Inefficient resource allocation and maintenance scheduling

Digital Twin Solution

To address these challenges, we developed a comprehensive digital twin solution with these key components:

Real-time Monitoring

The digital twin collects data from sensors across the treatment plants and displays them in an intuitive 3D interface, allowing operators to monitor plant operations remotely.

Troubleshooting Interface

When errors occur, the digital twin provides step-by-step troubleshooting guides that help operators diagnose and fix issues without requiring specialist knowledge.

Maintenance Checklists

The system includes maintenance checklists and schedules, prioritized by urgency, to ensure regular upkeep of equipment and prevent failures.

Data Analytics

The platform processes and analyzes sensor data to provide insights and identify potential issues.

Research Publication

Pervasive and connected digital twins for edge computing enabled industrial applications
Filippo Sanfilippo, Even Falkenberg Langås, Halima Zahra Bukhari, Stian Robstad
Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS), 2023
Abstract: A digital twin (DT) is a digital representation of a physical asset that serves as its counterpart — or twin. DTs differ from static, three-dimensional models in that they are continuously updated with data from numerous sources. In one continually changing world of pervasive computing, where computational and human intelligence are expanding everywhere, DTs can be regarded as the backbone for addressing the synergy of software, devices, movable objects, networks, and people. In this paper, we present a novel perspective for designing, prototyping and testing pervasive and connected DTs for edge computing enabled industrial applications. The provided paradigm allows for the creation of computational models for cloud computing as well as the transmission of data and computational intelligence through analytic platforms. A case study is presented to demonstrate the possibilities of the suggested framework. According to the outlined findings, the proposed architecture contributes to effective maintenance and management of infrastructures and facilities. Read more
Read the paper