Our challenge, your solutions

Improving comfort and safety with digital-twin & blockchain

There is a lot of research being done in fields of improving the machinery part but very little on how to improve the comfort of the user actually using it. Our goal is to improve comfort and safety of user by use of digital-twin and blockchain.


Team: DTBC

Team members

Ahmed Afif Monrat, Adyasha Swain, Krishna Teja Vaddepalli

Members roles and background

Ahmed Afif Monrat - PhD student in Sweden

Adyasha Swain - PhD student in Sweden

Krishna Vaddepalli - Software developer

Contact details

Ahmed Afif Monrat ( Adyasha Swain ( Krishna Vaddepalli (

Solution description

Goal is 

  • To improve the comfort levels in existing machinery by use of IoT
  • To make the knowledge transfer easier between different people with use of digital-twin
  • To reduce the risk factors involved and save human life by combining digital-twin with blockchain technology
  • To improve the security of IoT devices and prevent data tampering which is crucial in making absolutely best decisions

Solution context

Heavy machinery and manufacturing

Solution target group

Industries focussing on developing heavy machinery and aiming to reduce manual labour.

Solution impact

Our solution has a multitude of capabilities including 

  • The ability to self learn can help produce better digital-twins in future iterations
  • Provide continuous status reports and data to train machine learning models to produce better environment to users
  • Make the best use of the available resources
  • Ability to monitor continuously and prevent unauthorized usage
  • Identify and notify about damage even before it has happened
  • Easy knowledge transfer models

Solution tweet text

Combining blockchain, machine learning with digital-twin to improve ease of knowledge transfer, comfort of user, security of data.

Solution innovativeness

Combining blockchain, machine learning with digital-twin to improve ease of knowledge transfer, comfort of user, security of data, reduce learning curve, unnecessary mass production of raw materials.

Solution transferability

Applicaitons are focussed but not limited to heavy machine industries. It can be used in almost every industry including the construction, medical, manufacturing etc.

Solution sustainability

  • Helps build and simulate work flow to find possible issues hence reducing the usage of unnecessary materials
  • Use of sensor data in live machines helps in improving the life of the machine hence reduing the wastage
  • Blockchain protects data which can be used to modify the unit to maximize its yield

Solution team work

We are a group of 3 members. Every step in the entire process involved all the members.

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DigiEduHack 2021 partners & supporters

DigiEduHack is an EIT initiative under the European Commission's Digital Education Action Plan, led by EIT Climate-KIC and coordinated by Aalto University. In 2021, the main stage event is hosted by the Slovenian Presidency of the Council of the European Union in cooperation with the International Research Center on Artificial Intelligence (IRCAI) under the auspices of UNESCO.

EIT Climate-Kic

Aalto University

European commission

Slovenian Ministry of Education, Science and Sport

International Research Center on Artificial Intelligence

EIT Community: Human Capital