Awarded

WP3.5.2 Novel Techniques and Technologies for Incorporating Sensor Data into Digital Twins

Descriptions

As part of the LongOps project, it is required to develop de-risking virtual tools such as a digital-twin systems linked to a real system interacting directly with the real world. In order to maintain an accurate, up-to-date digital twin, it is necessary to sense the real environment in real-time using a variety of sensors of different types, to compile an accurate combined model of the environment virtually, and to present this information to the operator in the most effective manner. Due to the effects of radiation and other inherent qualities of sensing devices, the data retrieved is expected to be inexact. Characteristics such as noise, reliability, confidence interval, linearity, etc., may affect the estimation of the digital-twin state. UKAEA wishes to procure innovative solutions for the development of novel, cutting-edge sensor data integration and perception techniques to support the de-risking of operations using digital twins.

Timeline

Published Date :

15th Aug 2022 2 years ago

Deadline :

29th Apr 2022 2 years ago

Tender Awarded :

1 Supplier

Awarded date :

5th Jul 2022

Contract Start :

22nd Jun 2022

Contract End :

30th Nov 2023

Tender Regions

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Workflows

Status :

Awarded

Assign to :

Tender Progress :

0%

Details

Notice Type :

Open opportunity

Tender Identifier :

IT-378-246-T: 2024 - 001

TenderBase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Region :

North Region

Attachments :

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Designation :

Chief Executive Officer

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors