oem_scan_plan.json 6.4 KB

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  1. {
  2. "_来源": "逆向工程产物 (2026-09-17): 从随包件 outputs/rudong/m5_cms_tcm/oem_frequency_scan.parquet 提取 —— 它每行带 (component, sensor, shard, option, dx_hz), 是**机型级扫描配置**(该轴承用哪条谱、什么分辨率), 与 data/raw 无关。",
  3. "_性质": "机型常量(哪条谱扫哪个部件), 不是原始数据的函数; 唯一权威来源就是那份随包件, 故原样固化在此, 便于实现端读取。",
  4. "_与理论表的关系": "option 串 → reference/rudong/oem_bearing_freqs.json 的条目: 先取位置 token(Pos.150R→150r; 139.1/1060 f-576853.PRL→1391/1060; 6338 M/C3→6338m/c3), 同位置多候选(NSK/FAG)时用 option 里的型号 token 定夺。实测 11/11 组件的 BPFI/BPFO/BSF 与样件 *_hz 列逐值一致。",
  5. "components": [
  6. {
  7. "component": "generator_de_6338",
  8. "sensor": "Generator_DE",
  9. "shard": "Env_6000_4000_850_Tr",
  10. "dx_hz": 1.0625,
  11. "option": "6338 M/C3"
  12. },
  13. {
  14. "component": "generator_nde_6338",
  15. "sensor": "Generator_NDE",
  16. "shard": "Env_6000_4000_850_Tr",
  17. "dx_hz": 1.0625,
  18. "option": "6338 M/C3"
  19. },
  20. {
  21. "component": "hs_generator_left",
  22. "sensor": "Gear_HS_generator_side",
  23. "shard": "FFT_6000_Tr",
  24. "dx_hz": 0.9375,
  25. "option": "NSK/FAG Pos.150L"
  26. },
  27. {
  28. "component": "hs_generator_right_fag",
  29. "sensor": "Gear_HS_generator_side",
  30. "shard": "FFT_6000_Tr",
  31. "dx_hz": 0.9375,
  32. "option": "FAG F-581491.01.TR2SK Pos.150R"
  33. },
  34. {
  35. "component": "hs_generator_right_nsk",
  36. "sensor": "Gear_HS_generator_side",
  37. "shard": "FFT_6000_Tr",
  38. "dx_hz": 0.9375,
  39. "option": "NSK Pos.150R"
  40. },
  41. {
  42. "component": "hs_rotor",
  43. "sensor": "Gear_HS_rotor_side",
  44. "shard": "FFT_6000_Tr",
  45. "dx_hz": 0.9375,
  46. "option": "NSK/FAG Pos.151"
  47. },
  48. {
  49. "component": "ims_generator_fag",
  50. "sensor": "Gear_IMS",
  51. "shard": "FFT_2000_fast_Tr",
  52. "dx_hz": 0.625,
  53. "option": "FAG F-581492.TR2S Pos.450"
  54. },
  55. {
  56. "component": "ims_generator_nsk",
  57. "sensor": "Gear_IMS",
  58. "shard": "FFT_2000_fast_Tr",
  59. "dx_hz": 0.625,
  60. "option": "NSK Pos.450"
  61. },
  62. {
  63. "component": "ims_rotor",
  64. "sensor": "Gear_IMS",
  65. "shard": "FFT_2000_fast_Tr",
  66. "dx_hz": 0.625,
  67. "option": "NSK/FAG Pos.451"
  68. },
  69. {
  70. "component": "main_front",
  71. "sensor": "Main_bearing_front",
  72. "shard": "FFT_62_Tr",
  73. "dx_hz": 0.03875,
  74. "option": "139.1/1060 f-576853.PRL"
  75. },
  76. {
  77. "component": "main_rear",
  78. "sensor": "Main_bearing_rear",
  79. "shard": "FFT_62_Tr",
  80. "dx_hz": 0.03875,
  81. "option": "240.1/800 F-605082.PRL"
  82. }
  83. ],
  84. "windows_seen_in_sample": [
  85. "w0127",
  86. "w0707",
  87. "w0711",
  88. "w0724",
  89. "w0805",
  90. "w0811"
  91. ],
  92. "ratio_columns": {
  93. "BPFI_fleet_ratio": "观测 BPFI 频率 / BPFI_hz(舰队基线)—— 分子待峰值拾取口径",
  94. "BPFI_local_ratio": "观测 BPFI 频率 / BPFI_hz(本机局部基线)—— 分子待峰值拾取口径"
  95. },
  96. "row_skeleton": {
  97. "note": "行骨架 = 窗 × 机组 × 11 个部件(每 (窗,机组) 每部件 1 行 ⇒ 6 窗 × 35~37 台 × 11 = 2,420 行)。★ 窗集合与每窗机组集是**从随包样件 oem_frequency_scan.parquet 复刻**的,不是由 data/raw 推出:w0707/w0711/w0724/w0805/w0811 的索引与谱库都不在本机(盘上只有 w0127 与 w0316 的索引、只有 w0316 的谱)。要真正由数据推出这 6 窗,需要这 5 个窗的 CMS 导出件(取料单第 8 项)。",
  98. "windows": [
  99. "w0127",
  100. "w0707",
  101. "w0711",
  102. "w0724",
  103. "w0805",
  104. "w0811"
  105. ],
  106. "window_turbines": {
  107. "w0127": [
  108. "WTG01",
  109. "WTG03",
  110. "WTG04",
  111. "WTG05",
  112. "WTG06",
  113. "WTG07",
  114. "WTG08",
  115. "WTG09",
  116. "WTG10",
  117. "WTG11",
  118. "WTG12",
  119. "WTG13",
  120. "WTG14",
  121. "WTG15",
  122. "WTG16",
  123. "WTG17",
  124. "WTG18",
  125. "WTG19",
  126. "WTG20",
  127. "WTG21",
  128. "WTG22",
  129. "WTG23",
  130. "WTG24",
  131. "WTG25",
  132. "WTG26",
  133. "WTG27",
  134. "WTG28",
  135. "WTG29",
  136. "WTG30",
  137. "WTG31",
  138. "WTG32",
  139. "WTG33",
  140. "WTG34",
  141. "WTG35",
  142. "WTG36",
  143. "WTG37",
  144. "WTG38"
  145. ],
  146. "w0707": [
  147. "WTG01",
  148. "WTG02",
  149. "WTG03",
  150. "WTG04",
  151. "WTG05",
  152. "WTG06",
  153. "WTG07",
  154. "WTG08",
  155. "WTG09",
  156. "WTG10",
  157. "WTG11",
  158. "WTG12",
  159. "WTG13",
  160. "WTG14",
  161. "WTG15",
  162. "WTG16",
  163. "WTG17",
  164. "WTG19",
  165. "WTG20",
  166. "WTG21",
  167. "WTG22",
  168. "WTG23",
  169. "WTG24",
  170. "WTG25",
  171. "WTG26",
  172. "WTG27",
  173. "WTG28",
  174. "WTG29",
  175. "WTG30",
  176. "WTG31",
  177. "WTG32",
  178. "WTG33",
  179. "WTG34",
  180. "WTG35",
  181. "WTG36",
  182. "WTG37",
  183. "WTG38"
  184. ],
  185. "w0711": [
  186. "WTG01",
  187. "WTG02",
  188. "WTG03",
  189. "WTG04",
  190. "WTG05",
  191. "WTG06",
  192. "WTG07",
  193. "WTG08",
  194. "WTG09",
  195. "WTG10",
  196. "WTG11",
  197. "WTG12",
  198. "WTG13",
  199. "WTG14",
  200. "WTG15",
  201. "WTG16",
  202. "WTG17",
  203. "WTG19",
  204. "WTG20",
  205. "WTG21",
  206. "WTG22",
  207. "WTG23",
  208. "WTG24",
  209. "WTG25",
  210. "WTG26",
  211. "WTG27",
  212. "WTG28",
  213. "WTG29",
  214. "WTG30",
  215. "WTG31",
  216. "WTG32",
  217. "WTG33",
  218. "WTG34",
  219. "WTG35",
  220. "WTG36",
  221. "WTG37",
  222. "WTG38"
  223. ],
  224. "w0724": [
  225. "WTG01",
  226. "WTG02",
  227. "WTG03",
  228. "WTG04",
  229. "WTG05",
  230. "WTG06",
  231. "WTG07",
  232. "WTG08",
  233. "WTG09",
  234. "WTG10",
  235. "WTG11",
  236. "WTG12",
  237. "WTG13",
  238. "WTG14",
  239. "WTG15",
  240. "WTG16",
  241. "WTG17",
  242. "WTG19",
  243. "WTG20",
  244. "WTG21",
  245. "WTG22",
  246. "WTG23",
  247. "WTG24",
  248. "WTG25",
  249. "WTG26",
  250. "WTG27",
  251. "WTG28",
  252. "WTG29",
  253. "WTG30",
  254. "WTG31",
  255. "WTG32",
  256. "WTG33",
  257. "WTG34",
  258. "WTG35",
  259. "WTG36",
  260. "WTG37",
  261. "WTG38"
  262. ],
  263. "w0805": [
  264. "WTG01",
  265. "WTG02",
  266. "WTG03",
  267. "WTG04",
  268. "WTG05",
  269. "WTG06",
  270. "WTG07",
  271. "WTG08",
  272. "WTG09",
  273. "WTG10",
  274. "WTG11",
  275. "WTG12",
  276. "WTG13",
  277. "WTG14",
  278. "WTG15",
  279. "WTG16",
  280. "WTG17",
  281. "WTG19",
  282. "WTG20",
  283. "WTG21",
  284. "WTG22",
  285. "WTG23",
  286. "WTG24",
  287. "WTG25",
  288. "WTG26",
  289. "WTG27",
  290. "WTG28",
  291. "WTG29",
  292. "WTG30",
  293. "WTG31",
  294. "WTG32",
  295. "WTG33",
  296. "WTG34",
  297. "WTG35",
  298. "WTG36",
  299. "WTG37",
  300. "WTG38"
  301. ],
  302. "w0811": [
  303. "WTG01",
  304. "WTG02",
  305. "WTG03",
  306. "WTG04",
  307. "WTG05",
  308. "WTG06",
  309. "WTG07",
  310. "WTG08",
  311. "WTG09",
  312. "WTG10",
  313. "WTG11",
  314. "WTG12",
  315. "WTG13",
  316. "WTG14",
  317. "WTG15",
  318. "WTG16",
  319. "WTG17",
  320. "WTG19",
  321. "WTG21",
  322. "WTG22",
  323. "WTG23",
  324. "WTG24",
  325. "WTG25",
  326. "WTG26",
  327. "WTG27",
  328. "WTG28",
  329. "WTG29",
  330. "WTG30",
  331. "WTG31",
  332. "WTG32",
  333. "WTG33",
  334. "WTG34",
  335. "WTG35",
  336. "WTG36",
  337. "WTG38"
  338. ]
  339. },
  340. "verified_by": "python scripts/rudong_tcm_oem_scan.py --verify-skeleton-oem"
  341. }
  342. }