Solution Partners
This article gives an overview over some of the most important solution partners of the IF. There are a lot more partnerships, some of them still unannounced. You can find more solution partners of the IF on the Official Homepage.
BiiLabs
BiiLabs is dedicated to developing distributed ledger technology to address challenges in the Internet of Everything era, including smart cities and energy management. Its core technologies support the digital transformation of various industries and solve critical customer problems on issues such as trust, security, growth, and efficiency.
Primarily, BiiLabs uses IOTA technology, but for some complex cases, BiiLabs also provides its own Layer 2 solutions to solve data storage, lack of smart contracts, or transaction speed issues, if necessary.
Technological focus:
- DLT Research
- Custom API
- Transaction Security
- Business scalability
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bIOTAsphere
bIOTAsphere is a self-sustaining, non-profit collaboration for various communities to interact, innovate and inspire and be part of the IOTA revolution. bIOTAsphere is primarily aimed at government institutions, businesses, and universities around the world that want to explore and bring to market solutions for distributed energy, carbon reduction, smart buildings, auto insurance, and the Internet of Things.
By leveraging the secure, open and immutable IOTA protocol and its integrated currency, bIOTAsphere, aims to positively impact the lives and infrastructure in which we work, rest and play.
Primary goals of bIOTAsphere
- Facilitate the commercialization of IOTA applications.
- Collaborate globally to demonstrate how the DAG-based Tangle can solve some of the world’s large and complex problems
- Demonstrate innovation in existing business models through “proof of concept” applications
- Collaborate with industry leaders to further drive these innovations
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Senseering / RWTH Aachen
It all started in 2018 when Daniel Trauth and his team launched a new research topic:
The goal is to create audit trails in decentralized supply chains and connect the IoT to industry, enabling new ways of machine to machine (M2M) interaction. The machines will be self-managed, autonomously optimizing their own manufacturing processes in real time and securely storing all collected data.
The proof of concept will create a digital twin for each workpiece or product, encrypt the data and store it in the Tangle via IOTA MAM. Users or buyers of these products will be able to interact with the data in a trusted system and verify the integrity of the product (“certificate of origin”). For this reason, a diverse team of highly motivated individuals from the fields of computer science, mechanical engineering, psychology, business administration, and product design was assembled for this project.
The WZL tests their programmed applications directly on a real on-site fineblanking machine. At the beginning of the production process, a previously purchased metal sheet is pulled from a roll and fed to a roll system, which compresses and aligns the sheet to a uniform predefined height for further processing. In the next production step, a fineblanking press produces up to four parts per second from the metal sheet.
The entire production process must be constantly monitored in order to detect poor material quality, tool wear, problems in the process or the environment in good time and to be able to take countermeasures. To date, samples are taken from the production line every few hours for manual quality control (measurement, surface finish, etc.). This is very time-consuming and may result in several hours of production of inferior products that must now be reworked or scrapped.
Engineers have often tried to describe the relationships between materials and tools in formulas for certain adjustable process parameters, but some machine parameters cannot be calculated theoretically and must be determined experimentally instead. The WZL combines the engineers’ theoretical formulas with physics-based data from the manufacturing process to provide a more accurate picture of production data in real time. In addition, all data collected can be stored for each product produced. (Digital twin)
A large number of additional sensors (e.g. image and video feeds, acoustic, vibration, force, displacement and temperature sensors) are attached to the machines themselves in order to read and record as much data as possible directly from the machine.
Additional machine-to-machine communication also enables micropayments and subscription models. Data from a digital twin can be sold on a data marketplace for a very small amount of money.
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Last Updated on 15. February 2021