Project · 2023/242023/24Type: Digital service

The Volvo HS

Operators' daily check-ups become sensor data for predictive maintenance

Co-produced information created by humans on-site to reduce unplanned downtime

Corporate partner Volvo Construction Equipment Visit website ↗Cohort 2023/24Theme Industry & operations

The Volvo HS – Volvo Construction Equipment (2023/24)
Key fact
84Sensors on one machine, yet faults slip through
Team
7 master students
Universities
Disciplines
AI and Machine Learning · Architecture and Urban Planning · Computer Science · Electrical Engineering · Industrial Engineering · Mechanical Engineering
The project · from brief to prototype

What happened, step by step.

01

Challenge

Unplanned downtime halts construction sites and causes costly delays. Machine data often lacks the context needed for diagnosis, and stakeholders struggle to get a quick, unified view of equipment health.

02

What the team learned

A machine carries 84 sensors, yet some problems still slip by unnoticed.

03

What they built

The Volvo Human Sensor app. Operators submit daily check-ups and inspections as text and images; cloud AI combines them with sensor data from Volvo's ActiveCare and shares conclusions with operators, mechanics, managers and Volvo's Uptime Center. AR troubleshooting and voice input support inspections.

Full project text

The team’s original texts from the project page.

A system collecting information from the operator to enrich the machine data and allow more insights for more understanding of equipment performance and better predictive maintenance

Challenge

Don’t you hate not knowing what is wrong with your car? Don’t you hate not having enough information which would enable you to solve the problem?

Downtime on site is the common enemy for all stakeholders on construction sites, causing production stops which leads to costly delays. Mechanical data often lacks context, complicating the accurate diagnosis of issues. Multiple stakeholders struggle to access critical information quickly and easily. The absence of a unified, comprehensive view of equipment health hampers effective decision-making and timely interventions.

Solution

Introducing the Volvo Human Sensor (HS), a cutting-edge solution designed to revolutionize equipment health management. By integrating human-collected information from the daily check-up of the machine, with machine data from Volvo's existing sensors and systems, particularly through ActiveCare, the Volvo HS provides unparalleled insights into your equipment's condition. Leveraging advanced AI analysis and AR-guided inspections, the Volvo HS minimizes unplanned downtime, ensuring your operations run smoothly and efficiently. Elevate your maintenance strategy with the Volvo HS and experience the future of equipment health management today.

Impact

What makes us special:
- Periodic
- Theme-Based
- Hands On Mini Projects
- StoryTelling + Learning

Team · 7 students, 2 universities

Who built it.

Evelina Persson
Blekinge Institute of Technology

Evelina Persson

Industrial Engineering and Management

Simon Bååth
Blekinge Institute of Technology

Simon Bååth

Mechanical Engineering

Lakshmi Sowmya
Blekinge Institute of Technology

Lakshmi Sowmya

Computer Science Engineer

Samer Albardan
Blekinge Institute of Technology

Samer Albardan

AI and machine learning Engineer

Rossana Tsutsumi
University of São Paulo

Rossana Tsutsumi

Electrical Engineer

Gabriel Paraizo
University of São Paulo

Gabriel Paraizo

Architectural design and Urban Planning

Artur Paparounis
University of São Paulo

Artur Paparounis

Mechatronics Engineer