Facility management system and methods
The hybrid ML-based control system addresses the inefficiencies of existing facility management systems by performing local inference and cloud-based training, ensuring secure and reliable control of industrial facility infrastructure.
WO2026136924A1PCT designated stage Publication Date: 2026-06-25PHAIDRA INC
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- PHAIDRA INC
- Filing Date
- 2025-12-19
- Publication Date
- 2026-06-25
Smart Images
Figure US2025060727_25062026_PF_FP_ABST
Abstract
In variants, an ML-based control system for an industrial facility can include a remote control plane, a client, a set of agents, data processing modules, an optional data store, a telemetry module, a learning module, and / or any other suitable components. In variants, the set of agents can include a facility agent, a set of local cooling agents, and / or any other suitable agents. In variants, the set of agents can include system state approximators and decision models learned via reinforcement learning. The ML-based control system can control components of the industrial facility by predicting and / or determining component setpoints based on power load and / or heat load of the industrial facility.
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