Golden Thread Benefits

Golden Thread Benefits

Activities

Stakeholder Coordination
  • Reduce cost, risk and improving quality of handover by defining what information is required.
  • Provide designers and supply chains with unambiguous and machine-auditable instructions.
  • Improve the quality of information from supply chain through standardised responses in submissions.
Information Capture & Classification
  • Capture as installed information from specialist supply chain members who are not using BIM.
  • Ensure key information for fire safety or decarbonisation is provided in an auditable manner.
  • Automate the classification of assets and systems so they can be connected and found more easily.
Digital Product Data & O&M Production
  • Reduce cost and risk by creating digital product data once and reusing it many times to create digital O&Ms.
  • Automate comparison of similar products by key attributes and support records of change/substitution.
  • Build an inventory of which projects used which manufacturers' products and mandatory occurrence reporting.
  • Enable manufacturers to know where their products are installed, be responsible for their information - and keep it current.
Validation & Data Quality
  • Automatically check that the data being provided (inc. CoBie) is delivered against what was asked for.
  • Return errors to the author, explaining what needs correcting, reducing Information Managers' workload.
  • Enable all parties to validate their individual work progressively, to ensure 100% data coordination.
Information Federation & Integration
  • Gather, store, and manage building information which may have been defined using the Information Requirements Tools, allowing automated testing and validation.
  • Integrate validated models, spreadsheets, 360 photos and documents.
  • Improve the process of H&S/O&M information production to automate validation, improve hand-over and findability
  • Ensure missing information is updated without the need for expensive authoring software.
  • Create a complete as-built (data) model that reflects what has been installed, what is connected to which systems and connected H&S/O&M (smart) documentation
Digital Twin & Record of Portfolio
  • Create an initial Digital Record of a whole portfolio of buildings from a simple spreadsheet.
  • Assimilate H&S/O&M documents and classify/tag/group them for easier searching.
  • Identify risks and report on the condition of the assets/systems that are protecting people.
  • Integrate BIMs, PIMs, asset lists, surveys, works, PPMs and sensors to form a simple digital twin.
  • Connect performance requirements to the systems that support the facility, monitor and generate alerts and actions where necessary
Maintenance & Response to Issues
  • Respond to reported issues with a clear instruction to suitably competent people and manage progress.
  • Reduce the time/cost to resolve an issue by providing more reliable information about assets and spares.
  • Provide maintenance people with site-specific hazards before they arrive, so they can mitigate risks.
  • Capture information about replacement products and/or works they have done to update the AIM.
Work Instruction Compliance & Planning
  • Reduce the risk of penalties/prosecution by maintaining a master library of activities, applied to assets and systems.
  • Plan, optimise and schedule tasks such as Inspection and Maintenance Inc. modelling competent staffing requirements.
  • Create coordinated data (e.g. SFG20) to populate CMMS applications like Maximo, QFM, FSI and Planon
  • Retain historic versions of procedures, should they be required in a legal action.
As-built models, surveying and applying AI to improve "findability"
  • Reduce the time/cost of surveying existing/recently completed buildings, to create asset lists of what is installed.
  • Enable experts in fabric and MEP to work remotely on 360 photos to tag assets and their condition.
  • Establish a unique asset, against which all future inspections (virtual or physical) are recorded.
  • Create training material for new staff and developing machine-learning and AI solutions.