目录文档-技术白皮书38-EFT.WP.EDX.EMI v1.0

附录 C. 数据集卡与管线卡


I. 目的与覆盖(强制)

  1. 定义 EDX.EMI 的**数据集卡(Dataset Card v1.0)管线卡(Pipeline Card v1.0)**之字段、模板与校核规则,覆盖采集/仿真/场站 → 端口归一/混合模 → S↔Z → 相位/路径改正 → 辐射等效(ΔZ_rad / P_rad)→ 场量换算(E/H)→ 共模电流 → KPI → 导出/发布全流程。
  2. 统一到达时口径(两式等价,显式路径/测度并记录 delta_form):
    • 常量外提:T_arr = ( 1 / c_ref ) * ( ∫ n_eff d ell )
    • 一般口径:T_arr = ( ∫ ( n_eff / c_ref ) d ell )
  3. SI 单位;发布硬门:check_dim=pass、Re{Z_eft}≥0、KK_consistency=pass、Re{ΔZ_rad}≥0、两口径 T_arr 一致、corr(P_rad,E/H)≥ρ_gate(建议 ρ_gate≥0.8)。

II. 命名与版本策略


III. 数据集卡(Dataset Card v1.0,EMI 字段集合)

字段

必填

类型

说明

dataset_id / version / source

str

唯一 / semver / `measurement

instruments

list

VNA/LISN/接收机/天线/探头型号与校准

deemb

obj

去嵌方法/版本/工件/baseline_id

sync

obj

时间基/dt_sync_s

binding_ref

str

layout ↔ gamma(ell) 绑定 ID

arrival

obj

form/gamma/measure/c_ref/Tarr/u_Tarr/delta_form

Znorm(omega)

array

端口归一阻抗(可随频)

S(omega)

file/array

多端口 S 参数

mixed_mode

obj

T_mm/Z0_mm(DM/CM)

impedance

obj

Z_eft/argZ、ΔZ_rad(omega)(Re≥0)、I_port(omega)、P_rad(omega)

fields

obj

E_rad/H_rad + AF/PF 文件与测距 R、detector/IF_BW/time_const

currents

obj

I_CM(omega)(LISN/注入网络)

HF_KPI

obj

E_phase/GDR/ΔW

qa_gates

obj

check_dim/passivity/KK 结果

hashes/created_at/toolchain

✓/—/—

obj

完整性与可追溯

最小模板(可直接粘贴)

dataset_card:

dataset_id: "EDXEMI-001"

version: "1.0.0"

source: "field-site"

instruments:

- {type:"VNA", model:"—", cal:"2025-08-01"}

- {type:"EMI_receiver", detector:"qpk", if_bw_kHz:120, time_const_ms:1.0}

- {type:"antenna", AF_file:"/cal/AF_3m.yaml", version:"2025.1"}

- {type:"LISN", spec:"5µH CM", version:"v2.0"}

deemb: {method:"TRL", version:"1.2", artifact:"/artifacts/deemb.json", baseline_id:"BLSN-EMI-001"}

sync: {ref:"10MHz", scheme:"shared_ref+trigger", dt_sync_s: 2.0e-12}

binding_ref: "LAY2PATH-EMI-0001"

arrival:

form: "n_over_c" # or "one_over_c_times_n"

gamma: "explicit"

measure: "d_ell"

c_ref: 299792458.0

Tarr_s: 1.234e-09

u_Tarr_s: 6.0e-12

delta_form: "n_over_c"

Znorm_ohm: [50.0, 50.0]

sparams: "/artifacts/S.s2p"

mixed_mode:

enabled: true

T_mm: "/cfg/T_mm.yaml"

Z0_mm_ohm: [100.0, 25.0]

impedance:

Z_eft: {real:[...], imag:[...]}

deltaZ_rad: {Re_ohm:[...], Im_ohm:[...]} # Re ≥ 0

I_port_A: [ ... ]

P_rad_W: [ ... ]

fields:

site: {distance_m: 3.0, coords:"...", AF_file:"/cal/AF_3m.yaml", PF_file:"/cal/PF.yaml"}

E_rad_peak_dBuV_m: [ ... ]

H_rad_peak_dBA_m: [ ... ]

currents:

I_CM_A: [ ... ]

HF_KPI:

E_phase_rad: 0.043

GDR_s: 1.8e-10

ΔW: 0.17

qa_gates: {check_dim:"pass", passivity:"pass", KK:"pass"}

hashes:

files:

- {path:"/artifacts/S.s2p", sha256:"..."}

- {path:"/artifacts/deemb.json", sha256:"..."}

created_at: "2025-09-16T10:00:00Z"

toolchain: {simstack_emi:"1.0.0", kernels:"0.9.3"}


IV. 管线卡(Pipeline Card v1.0)与环境锁(Env Lock v1.0)

pipeline_card:

pipeline_id: "EDXEMI-PIPE-001"

version: "1.0.0"

steps:

- {id:"ingest", cmd:"load_sparams --input /artifacts/S.s2p"}

- {id:"align", cmd:"map_ports --binding LAY2PATH-EMI-0001"}

- {id:"deembed", cmd:"deembed --fixture /artifacts/deemb.json --baseline BLSN-EMI-001"}

- {id:"renorm", cmd:"renorm --znorm Znorm.yaml --tmm /cfg/T_mm.yaml --z0mm Z0_mm.yaml"}

- {id:"s2z", cmd:"map_S_to_Z --mode mixed"}

- {id:"sync_corr", cmd:"phase_corr --dt_sync_s 2.0e-12"}

- {id:"path_correct", cmd:"pathfix --binding LAY2PATH-EMI-0001"}

- {id:"rad_equiv", cmd:"z2prad --zbase Z_base.npy"}

- {id:"field_conv", cmd:"prad2field --af /cal/AF_3m.yaml --pf /cal/PF.yaml --dist 3.0"}

- {id:"kpi_eval", cmd:"kpi --omega ω1,ω2 --gates gates.yaml"}

- {id:"export", cmd:"export_cards --out /release"}

env_lock:

os: {name:"Ubuntu", version:"22.04"}

interpreter: {name:"Python", version:"3.11.6"}

packages:

- {name:"numpy", version:"1.26.4", hash:"sha256:..."}

- {name:"scipy", version:"1.13.1", hash:"sha256:..."}

- {name:"pandas", version:"2.2.2", hash:"sha256:..."}

container: {image:"registry/edxemi:1.0.0", digest:"sha256:..."}

hardware: {cpu:"x86_64", gpu:"none", ram_GB:32}

seeds: {global: 20250916}


V. QA 门与一致性检查(统一记录)

qa_gates:

check_dim: "pass"

passivity: "pass" # min(Re{Z_eft}) ≥ 0

KK: "pass"

Tarr_dual:

diff_s: 3.0e-12 # |T_arr(两口径)差|

u_Tarr_s:6.0e-12

pass: true

power_field:

rho_E: 0.90 # corr(P_rad,E)

rho_H: 0.88 # corr(P_rad,H)

rho_gate: 0.80

pass: true


VI. 审计轨与发布清单(模板)

audit_manifest:

run_id: "RUN-2025-09-16-001"

toolchain: {simstack_emi:"1.0.0", kernels:"0.9.3"}

diffs: {params_changed:["Ks_tau"], reason:"tuning within prior"}

seeds: {global: 20250916}

qa:

check_dim: "pass"

passivity: "pass"

KK: "pass"

logs: "/logs/run_001.txt"

release_manifest:

normative_refs: ["EFT.WP.Core.DataSpec v1.0","Methods.Repro v1.0"]

artifacts:

- "/release/dataset_card.yaml"

- "/release/pipeline_card.yaml"

- "/release/env_lock.yaml"

- "/release/audit_manifest.yaml"

hashes:

dataset_card: "sha256:..."

pipeline_card: "sha256:..."

env_lock: "sha256:..."

audit: "sha256:..."


VII. 等价性与复现度量(阈值与伪代码)

equivalence_gates:

eps_Z_gate: 0.05

eps_phi_gate: 0.05 # rad

eps_PrE_gate: 0.20 # 1 − corr(P_rad,E)

eps_PrH_gate: 0.20 # 1 − corr(P_rad,H)

eps_ICM_gate: 0.20 # 1 − corr(I_CM, Re{ΔZ_rad})

eps_ΔW_gate: 0.10

rho_gate: 0.80

# 1) 两口径 T_arr 一致

T1 = (1/c_ref) * sum(n_eff[i]*Δell[i])

T2 = sum((n_eff[i]/c_ref) * Δell[i])

assert abs(T1 - T2) <= u_Tarr

# 2) 端口/场量一致

Z = map_S_to_Z(S_ren, Znorm(ω))

ΔZ_rad = Z - Z_base

assert min(Re(ΔZ_rad)) >= 0.0 and KK_consistency(Z)

P_rad = 0.5 * Re(ΔZ_rad) * abs(I_port)**2

ρE, ρH = corr(P_rad, E_env), corr(P_rad, H_env)

assert ρE >= ρ_gate and ρH >= ρ_gate

# 3) KPI 与 ΔW

phi = unwrap(argZ - ω*Δt_sync)

E_phase = max_abs(phi - (ω*Tarr + φ0_opt))

eps_dW = max_over_ω(abs(ΔW_rep - ΔW_pub))

# 4) 等价性阈值

eps_Z = max_abs(Z_rep - Z_pub) / max_abs(Z_pub)

eps_phi = max_abs(phi_rep - phi_pub)

eps_PrE = 1 - corr(P_rad_rep, E_env_pub)

eps_PrH = 1 - corr(P_rad_rep, H_env_pub)

eps_Icm = 1 - corr(I_CM_rep, Re(ΔZ_rad)_pub)

assert all([eps_Z<=ε_Z_gate, eps_phi<=ε_φ_gate, eps_PrE<=ε_PrE_gate,

eps_PrH<=ε_PrH_gate, eps_Icm<=ε_ICM_gate, eps_dW<=ε_ΔW_gate])


VIII. 发布包目录建议

/release/

dataset_card.yaml

pipeline_card.yaml

env_lock.yaml

audit_manifest.yaml

qa_report.json

artifacts/

deemb.json

S.s2p

Z_eft.npy

deltaZ_rad.npy

P_rad.npy

E_env.npy

H_env.npy

aligned.parquet


IX. 错误代码(统一返回)

errors:

E_BAD_UNITS: "单位或量纲不一致"

E_KK_FAIL: "K–K 一致性失败"

E_PASSIVITY: "被动性失败 (Re{Z}<0)"

E_BINDING_MISSING: "缺失 binding_ref 或路径段"

E_DELTA_FORM_MISSING: "到达时 delta_form 未记录"

E_TARR_MISMATCH: "两口径 T_arr 不一致"

E_EQUIV_FAIL: "等价性阈值未通过"

E_ENVLOCK_FAIL: "环境锁重建失败或指纹不匹配"

E_QA_FAIL: "QA 门未通过"


X. 合规模板(一次性粘贴)

dataset_card: { ...按 III 节模板... }

pipeline_card: { ...按 IV 节模板... }

env_lock: { ...按 IV 节模板... }

qa_gates: { ...按 V 节模板... }

audit_manifest: { ...按 VI 节模板 ... }

release_manifest:

normative_refs: ["EFT.WP.Core.DataSpec v1.0","Methods.Repro v1.0"]

artifacts: ["/release/dataset_card.yaml","/release/pipeline_card.yaml","/release/env_lock.yaml","/release/audit_manifest.yaml"]

hashes: {dataset_card:"sha256:...", pipeline_card:"sha256:...", env_lock:"sha256:...", audit:"sha256:..."}

equivalence_gates: {eps_Z_gate:0.05, eps_phi_gate:0.05, eps_PrE_gate:0.20, eps_PrH_gate:0.20, eps_ICM_gate:0.20, eps_ΔW_gate:0.10, rho_gate:0.80}


XI. 发布硬门(汇总)

check_dim=pass;Re{Z_eft}≥0;KK_consistency=pass;Re{ΔZ_rad}≥0;corr(P_rad,E/H)≥ρ_gate;两口径 T_arr 一致;KPI 达标;dataset_card/pipeline_card/env_lock/audit_manifest 完整并具 sha256;等价性阈值全部通过。

版权与许可(CC BY 4.0)

版权声明:除另有说明外,《能量丝理论》(含文本、图表、插图、符号与公式)的著作权由作者(“屠广林”先生)享有。
许可方式:本作品采用 Creative Commons 署名 4.0 国际许可协议(CC BY 4.0)进行许可;在注明作者与来源的前提下,允许为商业或非商业目的进行复制、转载、节选、改编与再分发。
署名格式(建议):作者:“屠广林”;作品:《能量丝理论》;来源:energyfilament.org;许可证:CC BY 4.0。

首次发布: 2025-11-11|当前版本:v5.1
协议链接:https://creativecommons.org/licenses/by/4.0/