Shunyaya Symbolic Mathematical Hardware – Operational Playbooks: Rail, Maritime & Buildings (4.13–4.15)

4.13 — Rail & metro (brake blending and adhesion)

  • Scenario. Mixed adhesion leads to flat spots and wear.
  • Inputs. Axle/ground speed confidence; adhesion indices carried as a.
  • Behavior. Brake targets remain classical; blending softens only when confidence weakens (bands drive advisory shaping).
  • Week-1 pilot. Band blending logic in advisory; keep safety thresholds unchanged.
  • KPIs & acceptance. Reduced wheel wear; equal braking performance.
  • Calculator-fast cue. Fuse adhesion cues: a_out := tanh( sum_i w_i*atanh(a_i) / max(sum_i w_i, eps_w) ) with w_i := |m_i|^1.

4.14 — Maritime shipping (routing and throttle)

  • Scenario. Overreacting to noisy currents/weather increases fuel burn.
  • Inputs. Ocean current, engine health, loading confidences; route and throttle values remain classical.
  • Behavior. Throttle/routing honor confidence; avoid spurious zig-zags when fused a dips.
  • Week-1 pilot. Band advisory on throttle schedules; keep arrival windows and limits intact.
  • KPIs & acceptance. Fuel per nautical mile down; schedule adherence intact.
  • Calculator-fast cue. Advisory gain: k := 1 - |a_fused| (cap k in [0,1]); apply only to non-critical smoothing.

4.15 — Buildings & HVAC (comfort and kWh)

  • Scenario. Sensor order/rate changes cause comfort overshoots and wasted energy.
  • Inputs. Temperature, occupancy, CO2 with alignments; control setpoints unchanged.
  • Behavior. Order-invariant fusion stabilizes control; bands gate non-critical aggressiveness (e.g., damper slew, PID gains).
  • Week-1 pilot. Publish lanes on key loops; add advisory dampers keyed to bands; no actuator hard limits altered.
  • KPIs & acceptance. Lower kWh with equal comfort scores.
  • Calculator-fast cue. Example fuse of occupancy and CO2:
    U := w_occ*atanh(a_occ) + w_co2*atanh(a_co2) ; W := w_occ + w_co2 ; a_out := tanh( U / max(W, eps_w) ).

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