Domain Lab India for Industrial AI & Smart Grid

Four-layer reference model from plant assets to enterprise intelligence. Uses edge AI, digital twins, MLOps and governed data products to convert OT signals into reliable decisions.

Design intent: Design intent: reduce downtime, energy loss and quality escapes while keeping operators in control.

Solution architecture: Solution architecture: sensor/PLC layer → edge inference → domain knowledge graph → AI cockpit for maintenance, quality, safety and planning.

Asset/process models cover BOM, routing, PLC tags, machine states, quality parameters and maintenance records.

Design intent: Know-how: OPC UA, ISA-95, MES/PLM/ERP integration, time-series databases, vector search and causal analytics.

Solution architecture: Solution architecture: enterprise ontology aligns product, process, people, project and production data for decision traceability.

Workers receive guided instructions, anomaly alerts, visual SOPs and shift knowledge through mobile, wearable and AR interfaces.

Design intent: Know-how: computer vision PPE checks, voice assistants, procedural LLMs, skill matrices and digital work permits.

Solution architecture: Solution architecture: worker app connected to edge event broker, knowledge base, safety rules and supervisor approval loop.

Private 5G enables deterministic plant connectivity for AGVs, robotics, cameras and remote expert workflows.

Design intent: Know-how: edge computing, network slicing, QoS, TSN alignment, Wi-Fi 7 coexistence and 6G sensing readiness.

Solution architecture: Solution architecture: shopfloor devices connect through private wireless to MEC nodes running AI inference and control dashboards.

IP scope includes AI workflows, ontologies, data pipelines, anomaly models, worker-assist methods and digital twin control logic.

Design intent: Know-how: invention harvesting, patent maps, design-around analysis, trade-secret boundary and model/data ownership.

Solution architecture: Solution architecture: IP register links use cases, datasets, model versions, claims, publications and commercialization pathways.

Test cases validate predictive maintenance, quality inspection, energy optimization, worker safety and process recommendation use cases.

Design intent: Know-how: synthetic data, hardware-in-the-loop, model drift testing, explainability review and OT fail-safe procedures.

Solution architecture: Solution architecture: test harness combines simulator, historian replay, acceptance criteria and cyber-resilience scripts.

Industrial AI uses interoperable OT/IT standards to reduce vendor lock-in and improve auditability.

Design intent: Know-how: IEC 62541 OPC UA, ISA-95, ISO/IEC 42001 AI management, IEC 62443 cyber, ISO 27001, ISO 55000 and safety norms.

Solution architecture: Solution architecture: compliance matrix maps each use case to data, cyber, safety, AI governance and validation controls.

Four-layer grid model from field assets to adaptive energy orchestration. Uses DERMS, ADMS, digital substations, PMU analytics, AI forecasting and cyber-secure communications.

Design intent: Design intent: improve reliability, renewable integration, loss reduction, demand flexibility and consumer/grid coordination.

Solution architecture: Solution architecture: grid device layer → secure communications → grid intelligence platform → control room and market services.

Grid depth covers substations, feeders, DER, EV charging, storage, demand response, meters and utility work management.

Design intent: Know-how: SCADA/ADMS, DERMS, FLISR, VPP, WAMS/PMU, GIS, CIM and outage intelligence.

Solution architecture: Solution architecture: grid ontology aligns assets, topology, telemetry, power-flow states, customers and market events.

Utility crews need mobile switching orders, asset history, hazard alerts, geospatial work packs and remote expert support.

Design intent: Know-how: field mobility, AR assisted inspection, drone imagery, digital permits, crew safety analytics and storm response intelligence.

Solution architecture: Solution architecture: crew app synchronizes GIS, OMS, asset records, safety rules and live network status.

5G supports secure wide-area telemetry, feeder automation, distributed intelligence and low-latency grid operations.

Design intent: Know-how: private LTE/5G, edge gateways, satellite/NTN backup, network slicing and 6G-ready sensing for critical infrastructure.

Solution architecture: Solution architecture: field routers and substations stream secure telemetry to edge nodes and grid applications.

IP opportunities include DER optimization methods, grid ontology, AI forecasting, cyber-defense, worker safety and adaptive control logic.

Design intent: Know-how: patent landscaping across smart grid, DER, EV, microgrid, energy AI and interoperability protocols.

Solution architecture: Solution architecture: IP portfolio links use-case claims with standards evidence, implementation artifacts and test results.

Test cases validate feeder automation, DER coordination, outage restoration, EV load management, demand response and cyber attack recovery.

Design intent: Know-how: power-flow simulation, digital substations, IEEE test feeders, HIL, IEC 61850 conformance and red-team exercises.

Solution architecture: Solution architecture: scenario library runs against simulators, test feeders, data replay and operational acceptance gates.

Smart grid depends on interoperability and security standards for multi-vendor operation.

Design intent: Know-how: IEC 61850, IEC 61968/61970 CIM, IEEE 2030.5, OpenADR, DNP3, IEC 62351, NERC CIP and IEC 62443.

Solution architecture: Solution architecture: standards matrix maps telemetry, control, DER, cybersecurity, metering and market interfaces.