AI Data Centers · OT Infrastructure · Cyber-Physical Resilience
Data Center OT Advisory for AI and HPC Infrastructure
HelioVector supports owners, developers, and infrastructure investors building or converting high-density AI and HPC campuses. We bring owner-side discipline to the operational technology layer that connects critical power, cooling, controls, historian data, cybersecurity, commissioning, and long-term operating resilience.
What We Control
A data center OT program must make fragmented systems operate as one governed environment.
OT Architecture and Segmentation
Practical Purdue-model mapping for data center environments, separating BMS, EPMS, SCADA, PLC networks, historian infrastructure, IOC access, vendor remote support, and enterprise IT through defensible zones and conduits.
Critical Power Monitoring and Control
Owner-side specification and review of EPMS, UPS, generator, ATS/STS, switchgear, PDU, RPP, busway, BESS, and microgrid telemetry to support availability, alarm quality, event reconstruction, and operational resilience.
Cooling and Facility Systems Integration
Controls governance for BMS and mechanical plant integration, including CRAH/CRAC, chilled water loops, pumps, valves, cooling towers, differential pressure, supply/return temperature logic, and sequence-of-operations review.
Industrial Data and Historian Design
Tag naming, point-list governance, sampling strategy, exception/compression policy, quality flags, alarm/event structure, and long-retention operational data models that make OT data usable for reliability engineering and executive decisions.
OT Cybersecurity Governance
Security architecture aligned with IEC 62443 and NIST 800-82 thinking: RBAC, MFA, PAM, jump hosts, OT DMZ, passive monitoring, backup/restore discipline, removable-media controls, and compensating controls for legacy equipment.
FAT, SAT, Commissioning, and Acceptance
Acceptance-oriented governance across factory tests, site acceptance, integrated systems testing, alarm rationalization, failover validation, as-built point verification, and handover documentation.
OT Operating Model
For owners converting energy-secured sites into AI-ready data center campuses, HelioVector uses a four-stage operating model: assess, stabilize, standardize, and scale.
Assess
Stabilize
Standardize
Scale
Experience Base
Ray Zhang's background combines renewable energy infrastructure, BESS and microgrid systems, EMS/SCADA product development, control-system architecture, and technical-commercial execution. This experience is directly relevant to AI data center campuses where power availability, thermal reliability, cyber-physical segmentation, and vendor governance determine project bankability.
Prior work includes AI data center energy operating system concepts connecting IT orchestration with OT microgrid infrastructure, deterministic edge control for power-routing decisions, and PV+BESS+grid-interconnected microgrid projects involving EMS/SCADA, protection, interconnection, and commissioning.
HelioVector applies this background to help owners avoid under-specified OT packages, unmanaged vendor access, fragmented alarm/event data, weak commissioning evidence, and systems that are difficult to operate after handover.
Representative Case
Anonymous owner-side support for a Beijing 5MW AI training and inference data center.
Core Challenge
A 5MW AI facility required coordinated owner-side oversight across energy resilience, cooling operations, OT data, supplier interfaces, and acceptance evidence after schedule disruption and design re-baselining.
Scope Controlled
BMS, EPMS, SCADA, historian requirements, power and cooling monitoring points, commissioning workflow, documentation, issue tracking, and owner handover readiness.
Relevance
The project demonstrates how HelioVector translates BESS, microgrid, EMS/SCADA, controls, and procurement experience into practical data center OT governance.
Field View
OT decisions should be evaluated by what they protect during abnormal conditions, not by how clean the architecture diagram looks.
For AI and HPC campuses, OT is not a back-office facilities layer. It is the control plane that protects power continuity, thermal stability, and contractual availability.
The highest-risk gap is usually not a single PLC or protocol. It is fragmented ownership across BMS, EPMS, network infrastructure, cybersecurity, commissioning, and vendor access.
Data center OT design must be procurement-led as well as engineering-led. If the RFP, point list, cybersecurity clauses, testing protocol, and handover package are weak, the final system will inherit that weakness.