WP3.5.2 Novel Techniques and Technologies for Incorporating Sensor Data into Digital Twins
United Kingdom Atomic Energy Authority
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Key details
Procurement
- 48000000 Software package and information systems
- 48100000 Industry specific software package
- 48150000 Industrial control software package
- 48328000 Image-processing software package
- 48461000 Analytical or scientific software package
- 48518000 Emulation software package
- 48627000 Real-time operating system software package
- 48900000 Miscellaneous software package and computer systems
- 48931000 Training software package
- 48960000 Drivers and system software package
- 48983000 Development software package
- 72212000 Programming services of application software
- 72212100 Industry specific software development services
- 72212150 Industrial control software development services
- 72212328 Image-processing software development services
- 72212461 Analytical or scientific software development services
- 72212510 Communication software development services
- 72212517 IT software development services
- 72212518 Emulation software development services
- 72212670 Real time operating system software development services
- 72212700 Software development services utilities
- 72212900 Miscellaneous software development services and computer systems
- 72227000 Software integration consultancy services
- 72260000 Software-related services
- 72262000 Software development services
- 73000000 Research and development services and related consultancy services
What happened
United Kingdom Atomic Energy Authority awarded this contract to Jacobs Clean Energy Limited on 3 Aug 2022.
Description
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.
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External ID: fts-ocds-h6vhtk-0323a2 • Added 20 August 2026