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Product Info Description

OpDez Architecture’s Digital Twin + Analytics offering delivers a structured, operationally usable digital representation of your building systems, spaces, assets, and live telemetry, so owners and operators can move from disconnected BAS screens and spreadsheets to a single, governed operational picture. The service connects design intent, asset records, and real time OT data into a unified model that supports portfolio wide visibility, faster troubleshooting, and evidence based operational decisions. 

 

The core of the deliverable is a clean semantic layer that makes building data consistent, portable, and analytics-ready across vendors and platforms. OpDez uses open, industry-recognized approaches for building information exchange and metadata modeling, enabling repeatable onboarding of new sites, reduced integration friction, and long-term maintainability. 

 

Digital Twin + Analytics is designed for NexGen Smart Buildings, retrofits, and multi-site portfolios where operational reliability, lifecycle governance, and measurable performance outcomes depend on trusted data and clear operational workflows. 

 

Key Inclusions

  1. A digital twin information model aligned to BIM information management practices, with clear ownership, versioning, and change control expectations. 
  2. Open model exchange alignment for asset and geometry information, supporting interoperability across tools. 
  3. Semantic tagging, point normalization, and equipment hierarchy, enabling portable analytics and consistent dashboards. 
  4. BAS, metering, and system telemetry integration plan, including naming standards, metadata dictionary, and ingestion rules. 
  5. Analytics package options, fault detection rules, performance KPI set, anomaly detection baselines, and alert routing logic.
  6. Operational views, system maps, zone views, equipment views, and issue worklists to support technicians and supervisors.
  7. Data governance package, data classification, retention targets, access roles, audit logging expectations, and evidence outputs. 

 

Deliverables

  1. Digital twin model structure, equipment and space hierarchy, system relationships, and point mapping tables. 
  2. Tagging standard, metadata dictionary, and normalization rules, with examples and QA checks. 
  3. Analytics requirements brief, KPI definitions, alarm rationalization, and alert escalation workflows.
  4. Commissioning, onboarding, and sustainment playbook, including change control and validation steps. 
  5. real-time OT data into a unified model that supports portfolio-wide visibility, faster troubleshooting, and evidence-based

 

Works Cited

  • International Organization for Standardization. ISO 19650 1:2018. Organization and Digitization of Information about Buildings and Civil Engineering Works, Including Building Information Modeling, Information Management Using Building Information Modeling, Part 1: Concepts and Principles. ISO, 2018.
  • International Organization for Standardization. ISO 16739 1:2024. Industry Foundation Classes (IFC) for Data Sharing in the Construction and Facility Management Industries, Part 1: Data Schema. ISO, 2024.
  • Balaji, Bharathan, et al. “Brick: Towards a Unified Metadata Schema for Buildings.” Proceedings of the 3rd ACM International Conference on Systems for Energy Efficient Built Environments, 2016.
  • Project Haystack. “Project Haystack.” Project Haystack, n.d.

Digital Twin + Analytics

149.00$السعر
غير متوفر
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