Cyber-Physical Intelligence Stack

 

Gemini said

AIMLUX.ai Proposes the Combining of TruVolt.ai (BESS), Equitus.ai (Graphixa/KGNN), and Cyberspatial Teleseer (PCAP) creates a "Cyber-Physical Intelligence Stack" for Battery Energy Storage Systems (BESS) in datacenters. This integration moves beyond simple power management into predictive energy orchestration and autonomous cyber-resilience.

Aimlux.ai TruVolt solutions combine to add specific value: Combining Energy, Data Center and Battery Management Systems with IBM Power 10/11 on Equitus.ai Intelligent Ingestion Suite (IIS) to ensure that human in the loop oversight is built into the design.

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1. The Operational Layer: TruVolt.ai & PID Automation

TruVolt.ai provides the "nervous system" for the BESS. In a datacenter, AI workloads create massive, sudden power spikes (up to 50MW in seconds) that can destabilize a grid.

• Intelligent PID Control: TruVolt uses AI-enhanced Proportional-Integral-Derivative (PID) loops to manage the thermal and electrical output of battery cells. Unlike static controllers, TruVolt’s PID Automation adapts in real-time to load fluctuations, preventing "thermal runaway" (overheating) and extending battery life.

• Grid Smoothing: It ensures the BESS responds within 50 milliseconds to bridge the gap between a power surge and the secondary backup (like diesel generators), maintaining 99.999% uptime.

2. The Semantic Layer: Equitus.ai (Graphixa / KGNN)

Equitus.ai acts as the "brain" that contextualizes the raw data coming from TruVolt.

• Triple Store Architecture: Graphixa converts TruVolt’s sensor data (voltage, temperature, cycles) into Semantic Triples (Cell_A -> exhibits -> High_Temperature). This creates a "Digital Twin" of the entire BESS.

• KGNN (Knowledge Graph Neural Network): Running natively on IBM Power10/11, the KGNN analyzes these triples to find hidden patterns. It can predict a cell failure weeks in advance by correlating "micro-fluctuations" in voltage with external environmental factors (like datacenter humidity or ambient grid noise) that traditional SCADA systems would ignore.

3. The Security & Visibility Layer: Cyberspatial Teleseer

Teleseer provides the "eyes" and "shield" for the digital-physical interface.

• Cyberspatial Mapping: Teleseer maps the entire network topology of the BESS and its connection to the datacenter's IT infrastructure. It identifies every IP-connected controller, inverter, and sensor.

• Threat Detection: Because BESS systems are prime targets for cyber-physical attacks (where a hacker might try to cause a fire by overriding thermal limits), Teleseer monitors for anomalous command patterns.

• Value Add: When Teleseer detects a suspicious network request, it feeds that event into the Equitus KGNN. The KGNN then cross-references the network threat with the physical battery state from TruVolt. If a "reboot" command is detected by Teleseer while TruVolt reports a "High Temp" state, the system can autonomously isolate the battery before a physical catastrophe occurs.

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Value Proposition Summary\\

By running this entire stack on IBM Power10/11 using the Matrix-Math Assist (MMA), datacenters can achieve this level of AI-driven energy management entirely on-premise. This is critical for high-security facilities (Gov, Defense, Finance) that cannot send their sensitive power-grid and network-topology data to the public cloud.

Component	Role	Combined Value
TruVolt.ai	Physical Control	Optimizes energy discharge and cooling to prevent physical degradation.
Equitus (Graphixa)	Semantic Logic	Unifies power data with IT data for an explainable "Single Source of Truth."
Teleseer	Cyber Visibility	Protects the BESS from digital sabotage and maps the attack surface.