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From machines to smart systems: Cloud-based IoT for lift modernization and predictive maintenance

Project description

Innovative IoT-based tool for the lift market

Around 70 % of lifts in the EU were installed before 1999. The installation of lifts in existing or new buildings is instrumental. Existing maintenance procedures produce poor results in terms of performance and uptime, resulting in high maintenance costs and low effectiveness. The lack of data prevents the optimisation of maintenance models. Digital technologies such as IoT to extract data out of connected lifts are the response. The EU-funded e BlueBox project presents an innovative tool for lift modernisation that leverages the IoT to reach higher safety standards and perform predictive maintenance. The innovation targets lift manufacturers, maintenance companies, building owners and insurers.

Objective

Used every day, the lifts provide an essential means of fast, safe and comfortable access to different floors in buildings. The installation of lifts in new or existing buildings has an increasingly important role to play in an ageing society and as a growing population is moving to cities. In the city of the future, the most important transportation system will not be cars, buses, subways, or even futuristic monorails, it will be the lift!
Europe counts today more than 5.85 million lifts in service. Around 70% of them were installed before 1999 and they do not assure the highest safety levels currently expected, which means that fatal accidents still occur in the EU. Moreover, lifts are a major capital investment for building owners and managers. Current maintenance procedures are based on periodic inspections which, despite the number of visits, produce poor results in terms of performance (MTTR and MTBF) and uptime, implying high maintenance costs and low effectivity.
The combination of old systems and poor maintenance models is holding back the EU lift market. The lack of data impedes the optimization of maintenance models. Leveraging digital technologies such as IoT (Internet of Things) to extract data out of connected lifts can solve this problem.

Our company IOTTY is an Italian start-up fully aware of the importance of using the Internet of Things in the lift industry to anticipate equipment failures and respond more quickly to critical situations. Addressing the concern of lift manufacturers, maintenance companies, building owners and insurers, we present e-BlueBox, an innovative tool for lift modernization that leverages the IoT to reach higher standards of safety and implement predictive maintenance. With clear benefits (-25-30% accidents, -10-40% maintenance costs, equipment downtime reduced by 50%), e-BlueBox will allow IOTTY to grow sustainably, capturing €29.6 million revenues in its first 4 years of commercialization.

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

IOTTY SRL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
LARGO PORTA NUOVA 14
24122 BERGAMO
Italy

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Nord-Ovest Lombardia Bergamo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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