36 lines
1.2 KiB
Markdown
36 lines
1.2 KiB
Markdown
TASK: Produce a scenario matrix and attribute TTE reductions to drivers.
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INPUT DATA:
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- BASELINE_CONFIG_v1
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- Choose z0 = 1.00 only
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- Define 8 scenarios total:
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S0 baseline
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S1 brightness reduced: L(t) scaled by 0.5
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S2 CPU reduced: C(t) scaled by 0.5
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S3 network reduced: N(t) scaled by 0.5
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S4 signal worsened: Ψ(t) replaced by min(Ψ, Ψ_poor) for entire run
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S5 cold ambient: T_a = 0°C constant
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S6 hot ambient: T_a = 40°C constant
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S7 background cut: P_bg reduced by 50%
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METHODOLOGY:
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1) For each scenario, run simulation and compute TTE_hours.
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2) Compute ΔTTE_hours = TTE(Si) - TTE(S0).
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3) Rank scenarios by most negative ΔTTE (largest reduction).
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4) For top 3 reductions, compute “mechanistic signatures”:
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avg(P_tot), max(I), min(Δ), avg(R0), avg(Q_eff)
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DELIVERABLES:
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A) SCENARIO_TTE_TABLE_v1 (CSV):
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scenario_id, description, TTE_hours, ΔTTE_hours, termination_reason
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B) DRIVER_RANKING_v1 (JSON):
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ordered list of scenario_id with ΔTTE_hours
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C) MECH_SIGNATURES_v1 (CSV) for top 3 reductions:
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scenario_id, avg_P, max_I, min_Δ, avg_R0, avg_Qeff
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VALIDATION:
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- All scenarios must terminate with a valid event reason.
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- No scenario may produce NaN/inf in stored columns.
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OUTPUT FORMAT:
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CSV, JSON, CSV. No prose. |