Closed IanGrimstead closed 4 years ago
Top 250 terms:
1. solar cell 3898.385468
2. internal combustion engine 2725.165515
3. heat exchanger 2692.492992
4. exhaust gas 2573.558060
5. water tank 2465.512626
6. solar energy 2161.601373
7. fuel cell 2005.073370
8. solar panel 1748.711242
9. storage battery 1737.360645
10. carbon dioxide 1510.974612
11. combustion chamber 1450.351037
12. solar water heater 1424.209037
13. wind turbine 1408.786827
14. solar cell module 1386.212055
15. electric vehicle 1380.530256
16. solar battery 1326.504379
17. power generation 1307.750727
18. solar cell panel 1199.961128
19. power consumption 1167.900741
20. electric energy 1150.989684
21. electric power 1091.443106
22. hot water 1070.387499
23. water pump 1040.381805
24. electric motor 1019.813735
25. power generator 1016.744179
26. negative electrode 990.101312
27. waste heat 961.481585
28. water inlet 954.354360
29. positive electrode 947.510116
30. power generation system 916.858230
31. high temperature 916.655595
32. wind power generation 912.875823
33. heat exchange 907.218343
34. control circuit 905.240054
35. power source 886.852957
36. wind power 885.280292
37. independent claim 869.446219
38. energy consumption 858.139309
39. wind energy 848.903794
40. flue gas 848.893713
41. power generation device 833.844406
42. water storage tank 831.056698
43. air inlet 828.236597
44. street lamp 817.249118
45. temperature sensor 815.241718
46. .1 797.782551
47. control module 792.599527
48. water outlet 789.709926
49. power grid 782.778168
50. box body 766.672540
51. water pipe 759.908123
52. heat energy 750.947605
53. secondary battery 750.113074
54. hybrid vehicle 746.430042
55. photovoltaic cell 743.897428
56. wind power generator 729.921915
57. photovoltaic module 727.778673
58. waste water 724.429621
59. organic fertilizer 708.403824
60. base station 705.731004
61. heat collector 698.792369
62. control signal 690.487850
63. heat pump 686.583436
64. battery pack 656.607713
65. electrode active material 655.211742
66. heat source 654.173761
67. exhaust pipe 646.528290
68. storage tank 640.998000
69. photovoltaic power generation 627.854949
70. output voltage 627.536742
71. water flow 627.354233
72. thin film 620.135245
73. energy storage 619.358398
74. electrical energy 616.832019
75. electrode layer 614.545755
76. solar collector 612.702082
77. fuel gas 611.754600
78. heat pipe 605.875689
79. air outlet 605.599523
80. low temperature 604.213628
81. waste gas 604.211095
82. tank body 598.152685
83. heat storage 597.367626
84. semiconductor layer 591.139233
85. control mean 589.320214
86. generate power 585.966472
87. wind wheel 582.018147
88. generate electricity 574.275090
89. fly ash 568.431479
90. supply power 567.793909
91. high efficiency 567.159129
92. air flow 567.090026
93. respectively connect 561.751477
94. furnace body 560.749391
95. environmental protection 558.093089
96. power plant 554.048313
97. air conditioner 553.527198
98. power system 551.769234
99. rotary shaft 545.392484
100. electronic device 540.617858
101. dye-sensitized solar cell 539.835236
102. direct current 537.030295
103. output shaft 535.062842
104. tail gas 533.661235
105. battery cell 531.309688
106. diesel engine 527.978047
107. water turbine 526.935513
108. mobile terminal 526.449319
109. water inlet pipe 519.129915
110. catalyst layer 513.534057
111. water level 509.428091
112. support frame 508.946387
113. power converter 503.872951
114. main shaft 503.172016
115. nutrient solution 501.456070
116. organic waste 501.359895
117. control part 497.698871
118. motor generator 495.929397
119. water heater 495.042425
120. base material 490.886602
121. heating device 490.807583
122. motor vehicle 487.697947
123. thermal energy 487.365599
124. power generate 480.886602
125. current collector 480.498466
126. flow rate 480.250265
127. energy storage device 479.822555
128. solar module 476.455115
129. outer wall 473.539247
130. heat transfer 470.100209
131. production process 469.839298
132. control valve 469.598798
133. water outlet pipe 468.677926
134. lamp pole 468.494090
135. energy source 464.428650
136. high pressure 462.117209
137. electric generator 461.440636
138. water supply 460.044860
139. water quality 458.332518
140. rotor blade 458.221324
141. power supply system 454.121316
142. following raw material 453.115121
143. waste heat recovery 451.826319
144. intake air 448.508742
145. lead lamp 447.497470
146. photoelectric conversion element 444.808052
147. wind driven generator 444.313976
148. organic matter 442.732698
149. intake valve 442.181502
150. aqueous solution 441.767663
151. gas turbine 439.605865
152. electric automobile 438.265424
153. energy saving 437.555792
154. natural gas 436.210361
155. real time 434.895425
156. heat preservation 431.174451
157. output power 430.538080
158. bottom plate 425.602725
159. metal oxide 423.739167
160. fan blade 419.997983
161. arrange inside 418.433772
162. rotating shaft 417.906815
163. semiconductor substrate 417.796411
164. hydrogen gas 417.010902
165. greatly reduce 416.496457
166. reactive power 414.410362
167. fuel injection 413.404648
168. solar heat 413.006954
169. permanent magnet 412.341079
170. composite material 410.517966
171. steam turbine 410.491335
172. fermentation tank 406.836692
173. heating system 406.806536
174. silicon wafer 403.925780
175. electrical power 403.237074
176. wind speed 401.861847
177. flow path 400.443573
178. following component 399.974263
179. power output 399.497556
180. power supply device 399.196648
181. battery module 399.054859
182. gas outlet 398.650948
183. fuel cell system 397.459313
184. utilization rate 396.301261
185. monitoring system 396.267645
186. greatly improve 395.903524
187. drive motor 394.174167
188. rotation speed 394.107614
189. waste material 392.449389
190. power factor 389.645491
191. lithium secondary battery 388.783108
192. fuel tank 387.011802
193. vacuum tube 386.678268
194. sea water 384.245749
195. fuel supply 382.201816
196. rotational speed 381.909216
197. electrolyte membrane 380.940992
198. cooling water 379.117081
199. fresh water 378.894018
200. save energy 378.795208
201. base plate 377.069280
202. hot air 375.749095
203. energy conservation 373.681592
204. photoelectric conversion efficiency 373.350235
205. water body 372.004220
206. ionic liquid 371.909667
207. super capacitor 369.779579
208. glass substrate 369.445319
209. exhaust valve 368.069327
210. organic solvent 367.616663
211. alternate current 366.837328
212. wave energy 366.699840
213. cold water 365.597726
214. drive shaft 365.477588
215. exhaust passage 364.925142
216. heat collection 364.570925
217. low pressure 364.191988
218. waste plastic 363.736430
219. film solar cell 362.035711
220. buffer layer 361.868401
221. thin film solar 361.837527
222. economic benefit 361.731333
223. heat medium 360.176635
224. kinetic energy 360.145219
225. communication module 360.122172
226. cross section 359.275563
227. bottom surface 359.088357
228. gas turbine engine 358.812078
229. carbon monoxide 358.542572
230. photovoltaic device 357.733627
231. power storage device 357.382233
232. electrode material 356.105336
233. work medium 355.757720
234. electricity generation 353.865175
235. solenoid valve 351.748377
236. input shaft 351.266785
237. input voltage 350.591268
238. drive circuit 350.412270
239. drive force 350.072149
240. inner surface 349.524288
241. wall body 349.515953
242. solar power generation 349.442624
243. die erfindung betrifft 349.205528
244. management system 348.324563
245. solar heat collector 348.311921
246. photoelectric conversion layer 347.680008
247. output terminal 346.646040
248. 1-2 part 346.165695
249. electromagnetic valve 345.713553
Is that still the case? I thought we solved this?
Checked on develop:
python pygrams.py -cpc Y02 -emt -dh publication_date -ds USPTO-random-100000.pkl.bz2
generated:
Running pipeline for "emergent"
Analysis of emergent failed as no terms were detected, likely because -mpq is too large for dataset provided
Traceback (most recent call last):
File "pygrams.py", line 263, in <module>
main(sys.argv[1:])
File "pygrams.py", line 216, in main
emergence=emergence)
TypeError: 'NoneType' object is not iterable
So alas something's still up - it should report gracefully if it failed, but I was hoping it'd get something with 100k patents...
When run with (for example)
-cpc Y02
, we fail to produce any predictions (message produced isAnalysis of emergent failed as no terms were detected, likely because -mpq is too large for dataset provided
).Should produce sufficient terms for analysis! patstat scored 3,898 for
solar panel
which indicates > 3,898 patents