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Developing a monitoring system for urban gas pipelines by utilizing state of the art accelerometers, advanced signal processing, and advanced intelligent algorithm based recognition

Objective

The gas grid monitoring systems cannot reliably estimate incident risks nor detect and isolate faults. At best, there are automatic solutions to avoid abrupt incidents. Incipient as well as intermittent fault detection and isolation still occurs randomly. Also, more than 50% of Europe’s ageing infrastructure has been built before 1983, while gas consumption continues to grow. Regarding safety, although the standards and regulations enable to mostly avoid abrupt failures, the current maintenance requirements incur excessive costs for gas grid operators. E.g. in Germany, grid leakages are controlled by expensive airborne LIDAR monitoring systems. This is especially problematic in urban environments, in which most of the consumers are situated- without viable alternatives, grid operators must accept the cost.

Nevertheless, recent advancements in remote measurement technologies enable to develop substantially more effective grid monitoring solutions. For example, THE Systems and its team has already proven the viability of networked accelerometers for continuous grid monitoring tasks (THE Systems has tested the solution in an industrial environment in Finland).

As a result of this project, THE Systems will combine state of the art accelerometers with advanced signal processing based on computationally efficient algorithms. The uniqueness for urban settings stems from the nodes’ highly effective dampening features and the algorithm’s non-parametric, multivariate, and non-linear characteristics that operate despite high rates of random noise. Thus, it will be possible for grid operators to continuously detect and isolate faults in urban gas networks in an economically feasible manner. The broader impact will be an increase in urban gas grid safety, and at least a 50% reduction in respective grid maintenance costs. For THE Systems, TM Field Analyzer could generate up to 70 mEUR by year 5 after the product launch, and increase the number of staff by at least 70 employees.

Fields of science (EuroSciVoc)

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

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-SMEInst-2014-2015

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Coordinator

THE Systems OU
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
Ravala pst 8
10143 Tallinn
Estonia

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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
Eesti Eesti Põhja-Eesti
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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