Physical Quantitative Rationale for Global Environmental Protection through the Eradication of Physical Degradation and the Maximization of Energy Efficiency via Adaptive Entropy Control and Grounding (Earth Connection) — A Steady-State Energy Circulation Architecture for Physical AI Robots and All Electrical Devices —

This paper proposes a physical architecture to eliminate degradation in physical AI robots and electrical devices by integrating reversible computation and grounding. Conventional electronics accumulate heat and electromagnetic noise due to irreversible operations and insufficient entropy discharge, leading to material fatigue and reduced lifespan. The study introduces a system combining a Reversible Computation Core (RCC), an Entropy Control Unit (ECU), and Active Earth grounding to minimize internal entropy generation (dS_{internal} ≈ 0) and continuously discharge excess energy to the environment. Quantitative models show that synchronizing energy input and output can significantly reduce thermal waste, extend device lifetimes, lower electronic waste, and decrease CO₂ emissions. The paper argues that grounding should be standardized globally as a fundamental design principle for sustainable energy systems and planetary thermodynamic equilibrium.