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Structural Condition Monitoring System for Lighting Columns

Network Rail Infrastructure Ltd

This public procurement record has 1 release in its history.

Planning

26 Jul 2022 at 09:14

Planning Notice
Summary of the contracting process

Network Rail Infrastructure Ltd is planning a procurement process for a "Structural Condition Monitoring System for Lighting Columns". This initiative falls under the category of monitoring and control services, targeting the UK region. The procurement is currently in the planning stage, with a specific focus on evaluating technology solutions that can enhance the efficiency of condition monitoring for approximately 100,000 lighting columns owned by Network Rail. Parties interested in engaging must submit responses to a Request for Information (RFI) by 9 August 2022, addressing the need for remote condition monitoring solutions that avoid traditional manual inspections.

This tender presents a valuable opportunity for businesses specialising in technological innovations related to asset management, particularly those that provide remote monitoring systems or solutions for condition assessment in infrastructure settings. Companies involved in developing non-destructive testing methods, IoT solutions, or Geographic Information Systems (GIS) would find this opportunity particularly relevant. Engaging in this procurement could lead to partnerships with Network Rail and enhance visibility in the railway services industry, potentially paving the way for future contracts and collaborations.

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Notice Information

Notice Title

Structural Condition Monitoring System for Lighting Columns

Notice Description

Network Rail owns around 100,000 lighting columns, a proportion of which must be manually inspected on an annual basis to determine their condition. Network Rail are seeking to understand whether technology can be used to remove the need for time-based manual inspections so that we can move towards remote condition monitoring and a 'plan and prevent' maintenance routing for lighting columns. The Technical Authority issued a challenge statement addressing this which is detailed below. Related Challenge Statement: "Provide a Safe and Efficient Method to Enable Non-Destructive Testing of Hidden Metallic Standalone Column"

Lot Information

Lot 1

Network Rail is seeking a remote condition monitoring and decision support tool which can provide the following services/outcomes: 1. Remotely determine the structural performance level of lighting columns and enable informed asset management decision making without the need for physical inspection of the column. 2. Remotely determine the performance status of the luminaire (i.e., whether it is operational or it has failed. 3. Enable communication of real time notifications to persons responsible for asset management for either structural or luminaire failures of the lighting columns. 4. Provide an asset management system utilising modern Geographic Information Systems which includes asset data and asset performance data for lighting columns. 5. Enable data collection and associated data analysis capability for predictive deterioration modelling to inform future business plan interventions. - Remote condition monitoring and early warning detection of asset failure is required for lighting columns. How can we identify what is normal and abnormal within lighting columns and trigger alerts based on this information? - How do other asset owners monitor their assets? Can we adopt any effective methods or techniques from other industries? - What are the common failure modes for particular material types? What are the risks for these failure modes? - How can remote condition monitoring findings be easily and clearly communicated to surveyors and asset engineers and give time-framed action recommendations? Output vision: An inspection methodology and reporting solution that will allow Network Rail to fully understand the condition of its lighting columns with maximum safety, minimum cost, and minimum disruption. The output should enable Surveyors and Asset Engineers to understand the condition and enable them to make time-framed decisions clearly and easily. Potential Tenderers will need to inform if they have the ability to meet each of the points above in their response.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-0355b9
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/020241-2022
Current Stage
Planning
All Stages
Planning

Procurement Classification

Notice Type
Planning Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
Not specified
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

71 - Architectural, construction, engineering and inspection services

CPV Codes

71700000 - Monitoring and control services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
26 Jul 20224 years ago
Submission Deadline
Not specified
Future Notice Date
26 Jul 2022Expired
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Planned
Lots Status
Planned
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
Network Rail Infrastructure Ltd
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
NW1 2DN
Postcode Area
North West London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI36 Camden
Delivery Location
Not specified
Local Authority
Camden
Electoral Ward
Regent's Park
Westminster Constituency
Holborn and St Pancras

Further Information

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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