Having detailed knowledge of the working environment such as surface type and dimensions and existing infrastructure is key to the effective planning, designing and budgeting of roll out, upgrade and maintenance project on the highway network in the utilities and FTTH sector.
Gaist data accessed from the desktop, can mitigate health & safety risk and reduce costs through negating the need for site surveys, improve efficiency, reduce disruptions and variations through increased information at the scope/specification stages of a scheme.
Gaist can add value to utilities through the whole project life cycle (from feasibility to handover) of upgrade and maintenance works on their buried infrastructure in the highway network.
From initial condition assessment of the carriageway and footway; and asset inventory and location; through assistance with budgeting and prioritising maintenance schemes; improving the designing and planning process; and support during site works; on to on-going monitoring of the re-instatements for warranty claim mitigation.
Using a combination of artificial intelligence (AI), machine learning and human inspection the images are analysed to provide customer specific asset inventory data including location, type and attributes. This information can be delivered as web services through AssetStream (Gaist’s proprietary software) or as shape files for use in client specific GIS (Geographic Information System) and other planning applications.”
Supporting reinstatement quality management and monitoring
The 4th edition of the Specification for the Reinstatement of Openings in Highways (SROH) has a requirement to assess the condition of footways (sections S2.8 ref 1 and NG2.8 ref 2) and also makes reference to collaborative working between the undertaker and the Local Authority. Using a combination of artificial intelligence (AI), machine learning and human inspection Gaist provide an auditable, cost-effective and safe way to provide detailed and accurate information on the condition of the entire length of the footway in question. When a complaint or claim does occur, then the process of managing it will be more efficient as validation can be done from the desktop, saving the cost of site visits and the time to manage the warranty claim with the relevant contractor.
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GaistMaterials is a detailed report of the surface type/material for verges, footways and carriageways for the entire planned network. This ensures that FTTH High Level Designs (HLD) are completed with the optimum route with the minimum of revisions and redesigns, and that business cases (average cost per homes passed), budgets and forecasts are as accurate as possible. At the project design stage through detailed analysis of the network area at a macro and micro level for scoping the works and creating bill of quantities from the desk-top, without the need for site surveys.
Buried services upgrade and replacement projects can be very costly for utility companies if the surface materials on the carriageway and footway are not understood, planned and accounted for. Some material reinstatements can be more expensive than others, and so building an accurate understanding of material types above buried services will enable cost-effective planning and improved compliance with codes of practice. The current process of visual inspection via site surveys is slow, expensive, open to subjectivity and can have safety and security implications for personnel carrying out such surveys on the busy public highway.
Each section of the highway network is assigned a contiguous polygon relating to the surface material type in the verge, footway and carriageway.
At the project feasibility stage by being able to optimise the network route for minimal cost and time by easiest trenching options. At the project design stage through detailed analysis of the network area at a macro and micro level for scoping the works and creating bill of quantities from the desk-top, without the need for site surveys. By having increased knowledge of the working environment and highway conditions before teams are deployed for emergency repairs thereby reducing aborted visits.