Buyer Name: NETWORK RAIL INFRASTRUCTURE LIMITED
Buyer Address: Waterloo General Office, London, UKI45, SE1 8SW, United Kingdom
Contact Email: james.akinwale@networkrail.co.uk
Buyer Name: NETWORK RAIL INFRASTRUCTURE LIMITED
Buyer Address: Waterloo General Office, London, UKI45, SE1 8SW, United Kingdom
Contact Email: james.akinwale@networkrail.co.uk
This procurement is for the cloud storage and data transmission services specifically for the output generated by the PANDAS V (Pantograph Damage Assessment System - Visual) equipment. This equipment is being installed on a portion of the LNER fleet to monitor the condition of overhead line (OLE) infrastructure. The PANDAS V system, developed and supplied by Transmission Dynamics (TD), includes integrated hardware and software components that generate image and associated data related to OHL conditions. The cloud storage and data transmission services are an integral part of the complete PANDASV solution, designed and configured by Transmission Dynamics to seamlessly manage and deliver the data captured by their proprietary equipment. The data generated by the PANDASV system requires specific handling and integration with the system's analytics and reporting capabilities, which are unique to Transmission Dynamics' solution. Network Rail, who are the primary beneficiary of this data, already utilise Transmission Dynamics' PANDASV system and its associated data management infrastructure. To ensure seamless integration, data integrity, and compatibility with Network Rail's existing systems and workflows, it is necessary to procure the cloud storage and data transmission services from Transmission Dynamics. This procurement is directly linked to the prior decision to implement the PANDAS V system, to align with existing systems on ECML, and due to its proven capability in OHL monitoring. The cloud storage and data transmission services are a necessary component to realise the benefits of the PANDAS V system.
No linked documents found for this notice.
Lot 1 Status: complete
Award Title: LNER OLE Infrastructure Monitoring
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