A 7-month engagement for a multi-site power generation company in Vietnam, focused on the architecture and tag governance framework for a multi-site historian consolidation.
PV Power operates multiple power generation sites in Vietnam, each with its own combination of legacy control systems, vendor-specific historians, and ad-hoc data exports. The corporate engineering team needed to consolidate the plant data into a single, queryable view to support cross-site performance benchmarking, regulatory reporting, and predictive maintenance pilots.
Phase 0: Multi-site discovery and assessment (4 weeks) including 4 representative sites and 5,000-tag samples per site. Phase 1: Tag governance framework (6 weeks) including naming, hierarchy, resolution, aggregation, and metadata model. Phase 2: Operating routine documentation (4 weeks) including request, approval, retirement, and quality monitoring. Phase 3: Cross-site rollout support (3 months) including site-by-site tag reconciliation.
78% of in-scope tags standardized across the 4 pilot sites within 3 months. 1-2 day reporting delay eliminated for monthly reports. Predictive maintenance pilot enabled by consistent time-series data. Operating routine sustained by corporate engineering team with weekly tag quality report.
Tag governance is the hard part, not the technology. The 78% standardization rate is realistic at go-live. Operating routines outlive the engagement.
Use this PV Power: Plant-Wide Historian Deployment page as a planning checkpoint before vendor selection, architecture review, validation scoping or implementation sequencing. The strongest next step is to compare the guidance with your current SOPs, system inventory, batch records, data flows and QA review routines so the discussion starts from evidence instead of assumptions.
For PV Power: Plant-Wide Historian Deployment, prepare the records, owners, risks and decision criteria linked to project background, approach, outcomes, lessons learned. Useful evidence includes current process maps, interface lists, audit trail expectations, exception workflows, data retention rules and the business reason for changing the current operating model.
ISA-95 boundary design (Levels 2-3 with corporate reporting at Level 4), tag naming standard, hierarchy standard, time-series resolution standard, and metadata model for equipment, signals, and hierarchy.
3 months for the 4 pilot sites with 78% in-scope tag standardization. The remaining 22% were incremental improvements owned by the site engineering teams.
Yes. The tag governance framework, metadata model, and operating routine apply directly to pharmaceutical historian deployments, with additional considerations for validation and audit trail.