{ "report_schema_version": "3.0.0", "analysis_version": "gr-edge-synthetic-3.0.0", "report_id": "GRV3-SIM-06", "scenario": { "id": "SIM-06", "title": "重启后的延迟磁脉冲", "subtitle": "相隔较远的第二段变化", "page_path": "/gaterestart/simulations/delayed-pulse/", "fictional_site": "合成地下停车场上坡出口道闸，非真实停车场或客户" }, "synthetic": true, "synthetic_label": "品牌叙事实验 / Synthetic Scenario / 非实测", "unit": "a.u.", "time_unit": "s", "provenance": { "csv_path": "data/v3/synthetic_events_v3.csv", "csv_sha256": "03d47c16c8384da444303ac0ab82180cc7b6d504643276133a8fbfd86ec6abd9", "cases_path": "data/v3/cases_v3.json", "cases_sha256": "394ce80352b0ee6811464fed9ce6931a846542a4eb643987bc1852527f446bb6", "manifest_path": "data/v3/data-manifest.json", "manifest_sha256": "636f416500e01c0b17db9b6fbf798a583ddd9623a58b7d8a5a98b35309d5e409", "generator_path": "simulation_v3/generate_v3.py", "generator_version": "3.0.0", "data_version": "grv3-synthetic-20261114-r1", "case_seed": 106, "hash_verified_on_load": true }, "selection": { "start_s": -1.5, "end_s": 4.5, "bounds_inclusive": true, "source_samples_per_case": 601, "selected_samples": 601 }, "assumptions_from_synthetic_generator": { "source_types_injected": [ "target_restart" ], "target_restart_injected": true, "injected_component_names": [ "restart_primary", "delayed_secondary" ], "timebase_status": "NOMINAL", "gate_marker_s": 0, "simulated_gate_clock_late_by_s": null, "reference_loss_window_s": null, "clip_limit_au": {}, "source_attribution_is_generator_assumption_not_waveform_inference": true }, "features_computed_from_csv": { "calculation_scope": "csv_numeric_and_sample_status_only; no injected source labels used", "baseline_window_s": [ -1.5, -0.25 ], "tail_drift_compare_windows_s": [ [ -1.5, -0.7 ], [ 3.5, 4.5 ] ], "coverage": { "bx": { "total": 601, "valid": 601, "saturated": 0, "lost": 0, "valid_fraction": 1 }, "by": { "total": 601, "valid": 601, "saturated": 0, "lost": 0, "valid_fraction": 1 }, "bz": { "total": 601, "valid": 601, "saturated": 0, "lost": 0, "valid_fraction": 1 }, "reference": { "total": 601, "valid": 601, "saturated": 0, "lost": 0, "valid_fraction": 1 } }, "baseline_by_channel_au": { "bx": 0.018386, "by": -0.008811, "bz": 0.006461, "reference": 0.000052 }, "peak_by_channel": { "bx": { "absolute_deviation_au": 0.590705, "absolute_deviation_time_s": 0.35, "signed_deviation_au": 0.590705, "maximum_au": 0.609091, "maximum_time_s": 0.35, "minimum_au": -0.012811, "minimum_time_s": 2.71 }, "by": { "absolute_deviation_au": 0.340889, "absolute_deviation_time_s": 0.37, "signed_deviation_au": 0.340889, "maximum_au": 0.332078, "maximum_time_s": 0.37, "minimum_au": -0.032738, "minimum_time_s": -0.4 }, "bz": { "absolute_deviation_au": 0.271162, "absolute_deviation_time_s": 1.84, "signed_deviation_au": -0.271162, "maximum_au": 0.02807, "maximum_time_s": 2.73, "minimum_au": -0.264701, "minimum_time_s": 1.84 }, "reference": { "absolute_deviation_au": 0.026517, "absolute_deviation_time_s": 2.49, "signed_deviation_au": -0.026517, "maximum_au": 0.017748, "maximum_time_s": 1.05, "minimum_au": -0.026465, "minimum_time_s": 2.49 } }, "max_abs_adjacent_slope_au_per_s": { "bx": 4.6712, "by": 3.2375, "bz": 3.1239, "reference": 2.269 }, "end_minus_start_median_au": { "bx": -0.005799, "by": -0.00217, "bz": 0.000477, "reference": -0.003393 }, "reference_similarity": { "method": "Pearson(Bx,reference) on shared valid samples; similarity is not identity", "comparison_window_s": [ -0.1, 0.46 ], "valid_pairs": 57, "pearson_r": -0.02769, "reference_peak_abs_deviation_au": 0.023331 }, "bx_candidate_peaks": { "method": "9-point moving mean; positive local maxima >=0.12 a.u.; >=0.24 s apart; 0.10..2.60 s", "threshold_au": 0.12, "peaks": [ { "time_s": 0.35, "height_above_baseline_au": 0.569812 }, { "time_s": 1.86, "height_above_baseline_au": 0.289217 } ], "first_two_gap_s": 1.51 }, "reference_difference": { "method": "Bx - 1.0*reference only at simultaneously VALID samples; uncalibrated illustrative difference", "coefficient": 1, "valid_pairs": 601, "baseline_au": 0.018599, "maximum_abs_deviation_au": 0.599061, "time_of_max_s": 0.35 } }, "decision": { "status": "RENDER_EVENT", "label": "DELAYED_PULSE", "label_zh": "合成延迟脉冲形态可展示", "reasons": [ { "basis": "computed_feature", "note": "对Bx平滑后查得至少两个分离正峰，时间间隔来自数值曲线", "detail": { "first_two_peak_gap_s": 1.51, "peak_times_s": [ 0.35, 1.86 ] } }, { "basis": "scenario_assumption", "note": "这些峰属于人工合成数据，不判断真实起动机", "detail": null } ], "logic_version": "gr-edge-synthetic-3.0.0", "is_trained_diagnostic_model": false, "real_vehicle_health": null, "diagnostic_confidence": null, "quality_state": "DEMO_PASS", "reasoning_is_synthetic_rule_based": true }, "narrative": { "context": "模拟第一候选脉冲后在较远时间又加入一段变化。", "result": "合成延迟脉冲形态可展示", "lesson": "全窗分析可显示远间隔双峰，缩短时窗可能丢失第二峰。", "evidence_note": "仅展示由CSV规则识别的合成波形形态，不是引擎状态判断" }, "cannot_infer": [ "真实车辆是否重启、车型或车辆身份", "起动机、电池、电路、发动机故障、健康程度或维修建议", "真实OPM探头量程、磁场绝对强度、测量误差或实际停车场抗干扰能力", "真实场源归属；来源命名来自预置的虚构情境", "真实世界的准确率、召回率、置信概率或工程部署效果" ] }