the Thermal Intelligence Engine (TIE) — for predicting and preventing thermal harm across multiple domains
LU605563A1Pending Publication Date: 2026-09-22TRUSH HANNA
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Patent Information
- Application Number
- LU605563
- Authority / Receiving Office
- LU · LU
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2026-03-22
- Publication Date
- 2026-09-22
Abstract
A unified system and method — the Thermal Intelligence Engine (TIE) — for predicting and preventing thermal harm to humans and thermal-sensitive assets across personal health, occupational safety, facility management, and data center operations. The system transitions thermal protection from environment-based measurement to person-centric and asset-centric prediction by creating a real-time computational model — a "thermal digital twin" — of each monitored entity. The system implements: (a) an adaptive Kalman filter whose state transition is derived from the Gagge two-node thermoregulatory model, producing individually calibrated core body temperature estimates from non-invasive wearable sensor measurements (heart rate, skin temperature, HRV, SpO ), with residual-compensated adaptive noise covariance; (b) a medication-aware thermal 2 vulnerability model that computationally adjusts risk thresholds based on a subject's pharmacological profile — the first system to model how specific drug classes impair thermoregulatory mechanisms; (c) conformal prediction methods producing calibrated uncertainty intervals on all risk assessments; (d) a composite thermal risk scoring method with trend-based predictive alerting that warns 15-60 minutes before danger is reached; (e) a multi-domain thermal co-optimization method that simultaneously manages human thermal safety and thermal-sensitive asset protection within shared thermal environments; (f) a Physics-Informed Neural Network (PINN) for edge deployment on wearable devices; and (g) federated cross-facility learning with differential privacy. No prior art system combines person-centric thermoregulatory state estimation, medication-aware vulnerability modeling, uncertainty-quantified risk prediction, predictive alerting, and multi-domain thermal co-optimization in a single engine. The system addresses thermal harm problems valued at $2.4 trillion annually in lost productivity, 62,000+ annual heat deaths in Europe alone, and $56 billion in data center cooling costs projected by 2030.
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