-
Notifications
You must be signed in to change notification settings - Fork 0
/
longmon-hatt.kicad_pcb
7812 lines (7801 loc) · 643 KB
/
longmon-hatt.kicad_pcb
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
(kicad_pcb (version 20221018) (generator pcbnew)
(general
(thickness 1.6)
)
(paper "A4")
(layers
(0 "F.Cu" signal)
(31 "B.Cu" signal)
(32 "B.Adhes" user "B.Adhesive")
(33 "F.Adhes" user "F.Adhesive")
(34 "B.Paste" user)
(35 "F.Paste" user)
(36 "B.SilkS" user "B.Silkscreen")
(37 "F.SilkS" user "F.Silkscreen")
(38 "B.Mask" user)
(39 "F.Mask" user)
(40 "Dwgs.User" user "User.Drawings")
(41 "Cmts.User" user "User.Comments")
(42 "Eco1.User" user "User.Eco1")
(43 "Eco2.User" user "User.Eco2")
(44 "Edge.Cuts" user)
(45 "Margin" user)
(46 "B.CrtYd" user "B.Courtyard")
(47 "F.CrtYd" user "F.Courtyard")
(48 "B.Fab" user)
(49 "F.Fab" user)
(50 "User.1" user)
(51 "User.2" user)
(52 "User.3" user)
(53 "User.4" user)
(54 "User.5" user)
(55 "User.6" user)
(56 "User.7" user)
(57 "User.8" user)
(58 "User.9" user)
)
(setup
(stackup
(layer "F.SilkS" (type "Top Silk Screen"))
(layer "F.Paste" (type "Top Solder Paste"))
(layer "F.Mask" (type "Top Solder Mask") (thickness 0.01))
(layer "F.Cu" (type "copper") (thickness 0.035))
(layer "dielectric 1" (type "core") (thickness 1.51) (material "FR4") (epsilon_r 4.5) (loss_tangent 0.02))
(layer "B.Cu" (type "copper") (thickness 0.035))
(layer "B.Mask" (type "Bottom Solder Mask") (thickness 0.01))
(layer "B.Paste" (type "Bottom Solder Paste"))
(layer "B.SilkS" (type "Bottom Silk Screen"))
(copper_finish "None")
(dielectric_constraints no)
)
(pad_to_mask_clearance 0)
(aux_axis_origin 166 96.5)
(pcbplotparams
(layerselection 0x00010fc_ffffffff)
(plot_on_all_layers_selection 0x0000000_00000000)
(disableapertmacros false)
(usegerberextensions true)
(usegerberattributes false)
(usegerberadvancedattributes false)
(creategerberjobfile false)
(dashed_line_dash_ratio 12.000000)
(dashed_line_gap_ratio 3.000000)
(svgprecision 4)
(plotframeref false)
(viasonmask false)
(mode 1)
(useauxorigin false)
(hpglpennumber 1)
(hpglpenspeed 20)
(hpglpendiameter 15.000000)
(dxfpolygonmode true)
(dxfimperialunits true)
(dxfusepcbnewfont true)
(psnegative false)
(psa4output false)
(plotreference true)
(plotvalue false)
(plotinvisibletext false)
(sketchpadsonfab false)
(subtractmaskfromsilk true)
(outputformat 1)
(mirror false)
(drillshape 0)
(scaleselection 1)
(outputdirectory "gerber/")
)
)
(net 0 "")
(net 1 "Net-(LCD1-VCC)")
(net 2 "unconnected-(ESPH1-VP-Pad5)")
(net 3 "unconnected-(ESPH1-VN-Pad8)")
(net 4 "unconnected-(ESPH1-EN-Pad9)")
(net 5 "Net-(ESPH1-D34)")
(net 6 "unconnected-(ESPH1-D35-Pad11)")
(net 7 "unconnected-(ESPH1-D32-Pad12)")
(net 8 "unconnected-(ESPH1-D33-Pad13)")
(net 9 "unconnected-(ESPH1-D25-Pad14)")
(net 10 "unconnected-(ESPH1-D26-Pad15)")
(net 11 "unconnected-(ESPH1-D27-Pad16)")
(net 12 "unconnected-(ESPH1-D14-Pad17)")
(net 13 "unconnected-(ESPH1-D12-Pad18)")
(net 14 "unconnected-(ESPH1-D13-Pad20)")
(net 15 "unconnected-(ESPH1-D15-Pad21)")
(net 16 "unconnected-(ESPH1-D2-Pad22)")
(net 17 "Net-(ESPH1-D4)")
(net 18 "Net-(ESPH1-RX2)")
(net 19 "Net-(ESPH1-TX2)")
(net 20 "Net-(ESPH1-D5)")
(net 21 "Net-(ESPH1-D18)")
(net 22 "Net-(ESPH1-D23)")
(net 23 "Net-(ESPH1-D19)")
(net 24 "unconnected-(ESPH1-D22-Pad39)")
(net 25 "unconnected-(ESPH1-RX0-Pad40)")
(net 26 "unconnected-(ESPH1-TX0-Pad41)")
(net 27 "Net-(ESPH1-D21)")
(net 28 "Net-(LCD1-GND)")
(net 29 "unconnected-(ESPH1-PadVIN)")
(net 30 "unconnected-(LORA1-NRST-Pad5)")
(footprint "ESP:ESP_Header" (layer "F.Cu")
(tstamp 0be7be82-f85a-4180-bdb4-306701b0a936)
(at 150 112.5 90)
(property "Sheetfile" "longmon-hatt.kicad_sch")
(property "Sheetname" "")
(property "Sim.Enable" "0")
(property "ki_description" "Header for DO IT ESP32 Devkit")
(property "ki_keywords" "ESP, header")
(path "/89a90e9c-75fa-4a10-9d96-0a441a54c330")
(attr through_hole)
(fp_text reference "ESPH1" (at 12.5 45 270 unlocked) (layer "F.SilkS")
(effects (font (size 1 1) (thickness 0.153)))
(tstamp 84dd5f7f-9ef6-4cf7-88ec-02c996b7d688)
)
(fp_text value "~" (at 12.7 0 90 unlocked) (layer "F.Fab") hide
(effects (font (size 1 1) (thickness 0.15)))
(tstamp afbe45c0-c9c9-4bb4-a272-a4bb02ce286b)
)
(fp_text user "${REFERENCE}" (at 12.7 2.5 90 unlocked) (layer "F.Fab") hide
(effects (font (size 1 1) (thickness 0.15)))
(tstamp 5dfca4df-d6a1-41e9-ae0c-816ea1fb9510)
)
(pad "" np_thru_hole circle (at 0.858 -4 90) (size 3.24 3.24) (drill 3.24) (layers "F&B.Cu" "*.Mask") (tstamp a838b64f-fce3-44dd-9bf3-0acea412c5b8))
(pad "" np_thru_hole circle (at 0.858 42.54 90) (size 3.24 3.24) (drill 3.24) (layers "F&B.Cu" "*.Mask") (tstamp 4cf2180d-cb98-44d9-aeef-1b36189d6f4e))
(pad "" np_thru_hole circle (at 24.142 -4 90) (size 3.24 3.24) (drill 3.24) (layers "F&B.Cu" "*.Mask") (tstamp 4c49ef93-03e2-4084-be21-e93945381404))
(pad "" np_thru_hole circle (at 24.142 42.54 90) (size 3.24 3.24) (drill 3.24) (layers "F&B.Cu" "*.Mask") (tstamp 2b82bb7b-8ac0-457e-8dc9-7144f182a58a))
(pad "3.3V" thru_hole circle (at 25 35.56 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 1 "Net-(LCD1-VCC)") (pinfunction "3.3V") (pintype "power_out") (tstamp 5497f2d8-3954-4e8e-88a6-1cb7a3a35d23))
(pad "5" thru_hole circle (at 0 2.54 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 2 "unconnected-(ESPH1-VP-Pad5)") (pinfunction "VP") (pintype "bidirectional") (tstamp 272898e3-9b02-44ac-b259-80ba216b42f1))
(pad "8" thru_hole circle (at 0 5.08 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 3 "unconnected-(ESPH1-VN-Pad8)") (pinfunction "VN") (pintype "bidirectional") (tstamp 93e99e80-5e07-457d-a32d-48824079d099))
(pad "9" thru_hole circle (at 0 0 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 4 "unconnected-(ESPH1-EN-Pad9)") (pinfunction "EN") (pintype "no_connect") (tstamp d1353b8b-7c09-4673-b21e-ff7230569ef7))
(pad "10" thru_hole circle (at 0 7.62 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 5 "Net-(ESPH1-D34)") (pinfunction "D34") (pintype "bidirectional") (tstamp d1e0b7d4-0344-43e3-85f7-84cb975ca3b3))
(pad "11" thru_hole circle (at 0 10.16 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 6 "unconnected-(ESPH1-D35-Pad11)") (pinfunction "D35") (pintype "bidirectional") (tstamp 6f25d597-dad9-4a12-9a43-c1b6dc528839))
(pad "12" thru_hole circle (at 0 12.7 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 7 "unconnected-(ESPH1-D32-Pad12)") (pinfunction "D32") (pintype "bidirectional") (tstamp 52d576fc-4c09-449b-988e-436b8c28e736))
(pad "13" thru_hole circle (at 0 15.24 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 8 "unconnected-(ESPH1-D33-Pad13)") (pinfunction "D33") (pintype "bidirectional") (tstamp 2f764e82-e292-41f7-bb70-1c672f57c748))
(pad "14" thru_hole circle (at 0 17.78 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 9 "unconnected-(ESPH1-D25-Pad14)") (pinfunction "D25") (pintype "bidirectional") (tstamp d6e7532a-b814-40b1-adc3-1234213bf716))
(pad "15" thru_hole circle (at 0 20.32 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 10 "unconnected-(ESPH1-D26-Pad15)") (pinfunction "D26") (pintype "bidirectional") (tstamp 547f6ab9-a39a-4e07-84e2-cc7a9552478a))
(pad "16" thru_hole circle (at 0 22.86 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 11 "unconnected-(ESPH1-D27-Pad16)") (pinfunction "D27") (pintype "bidirectional") (tstamp 1d3e4bbb-d3e0-4d20-bcb5-9fdc658bb14f))
(pad "17" thru_hole circle (at 0 25.4 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 12 "unconnected-(ESPH1-D14-Pad17)") (pinfunction "D14") (pintype "bidirectional") (tstamp 416c18b6-c0ea-44e8-93ac-55209f8961c7))
(pad "18" thru_hole circle (at 0 27.94 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 13 "unconnected-(ESPH1-D12-Pad18)") (pinfunction "D12") (pintype "bidirectional") (tstamp bc9f1b4e-b58b-433f-952a-04c4d7688283))
(pad "20" thru_hole circle (at 0 30.48 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 14 "unconnected-(ESPH1-D13-Pad20)") (pinfunction "D13") (pintype "bidirectional") (tstamp 2d447c42-35a6-48c2-9fef-3388e45d6540))
(pad "21" thru_hole circle (at 25 30.48 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 15 "unconnected-(ESPH1-D15-Pad21)") (pinfunction "D15") (pintype "bidirectional") (tstamp bbea5d48-072f-47aa-ac69-d62c83b5a3cb))
(pad "22" thru_hole circle (at 25 27.94 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 16 "unconnected-(ESPH1-D2-Pad22)") (pinfunction "D2") (pintype "bidirectional") (tstamp 84fc34ee-634e-4052-9f9d-b28e00f87b37))
(pad "24" thru_hole circle (at 25 25.4 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 17 "Net-(ESPH1-D4)") (pinfunction "D4") (pintype "bidirectional") (tstamp 21c6b510-8d12-44bf-8958-63451fb326fe))
(pad "25" thru_hole circle (at 25 22.86 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 18 "Net-(ESPH1-RX2)") (pinfunction "RX2") (pintype "bidirectional") (tstamp 419227e1-8b09-409f-a7d1-78f411e0df07))
(pad "27" thru_hole circle (at 25 20.32 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 19 "Net-(ESPH1-TX2)") (pinfunction "TX2") (pintype "bidirectional") (tstamp 9d6c9c27-200f-4bff-a57b-6d7f727d7219))
(pad "34" thru_hole circle (at 25 17.78 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 20 "Net-(ESPH1-D5)") (pinfunction "D5") (pintype "bidirectional") (tstamp 7026d3da-6675-4355-b5e8-5e6ac6402787))
(pad "35" thru_hole circle (at 25 15.24 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 21 "Net-(ESPH1-D18)") (pinfunction "D18") (pintype "bidirectional") (tstamp c5685f5e-37fa-4f24-b3cf-88aec31aef40))
(pad "36" thru_hole circle (at 25 0 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 22 "Net-(ESPH1-D23)") (pinfunction "D23") (pintype "bidirectional") (tstamp 04d2cbef-65bb-48d4-9097-c17c0feef051))
(pad "38" thru_hole circle (at 25 12.7 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 23 "Net-(ESPH1-D19)") (pinfunction "D19") (pintype "bidirectional") (tstamp a5f5c5f7-3f25-4ec5-930a-4f47dd1d6951))
(pad "39" thru_hole circle (at 25 2.54 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 24 "unconnected-(ESPH1-D22-Pad39)") (pinfunction "D22") (pintype "bidirectional") (tstamp cc8cccaa-483c-4ce2-97c4-7abbd349d828))
(pad "40" thru_hole circle (at 25 7.62 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 25 "unconnected-(ESPH1-RX0-Pad40)") (pinfunction "RX0") (pintype "no_connect") (tstamp c054b9c1-1e7f-4c30-aec0-67cb5036f36c))
(pad "41" thru_hole circle (at 25 5.08 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 26 "unconnected-(ESPH1-TX0-Pad41)") (pinfunction "TX0") (pintype "no_connect") (tstamp ceb9aef6-e68d-4b0f-af99-c3cf1a548ae3))
(pad "42" thru_hole circle (at 25 10.16 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 27 "Net-(ESPH1-D21)") (pinfunction "D21") (pintype "bidirectional") (tstamp 698455c7-99a8-4236-9502-65c3760108c6))
(pad "GND1" thru_hole circle (at 0 33.02 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 28 "Net-(LCD1-GND)") (pinfunction "GND") (pintype "power_in") (tstamp 31cee9f5-db9f-420f-b510-536dcc828d9d))
(pad "GND2" thru_hole circle (at 25 33.02 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 28 "Net-(LCD1-GND)") (pinfunction "GND") (pintype "power_in") (tstamp 010866b8-b214-462b-8131-d9eae336e5bf))
(pad "VIN" thru_hole circle (at 0 35.56 90) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 29 "unconnected-(ESPH1-PadVIN)") (pinfunction "VIN") (pintype "power_in") (tstamp ac1af76c-c5c6-43d6-99a9-923da8d2c481))
)
(footprint "ESP:LoRa Header" (layer "F.Cu")
(tstamp 41346a8d-e4ca-4a00-b434-fce4ac0c28dd)
(at 135 90)
(property "Sheetfile" "longmon-hatt.kicad_sch")
(property "Sheetname" "")
(property "Sim.Enable" "0")
(path "/8c055967-9370-4187-a665-ce6dc080ac2f")
(attr through_hole)
(fp_text reference "LORA1" (at 0 -4.5 270 unlocked) (layer "F.SilkS")
(effects (font (size 1 1) (thickness 0.153)))
(tstamp c2472e6b-c71c-4f3b-930c-3eb39c43eb67)
)
(fp_text value "~" (at 12.5 -5 unlocked) (layer "F.Fab") hide
(effects (font (size 1 1) (thickness 0.15)))
(tstamp ad4de399-d209-47d3-ae79-c89f37cbd0cd)
)
(fp_text user "${REFERENCE}" (at 12.5 -3.5 unlocked) (layer "F.Fab") hide
(effects (font (size 1 1) (thickness 0.15)))
(tstamp a9e656a9-e3ba-4504-98b7-2196839e642a)
)
(pad "1" thru_hole circle (at 0 0) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 28 "Net-(LCD1-GND)") (pinfunction "GND") (pintype "power_in") (tstamp 764bc017-4c5e-4e6b-8675-fe6e8f8e79e2))
(pad "2" thru_hole circle (at 0 2.5) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask") (tstamp 483c4df6-f51d-4930-8581-66a388684527))
(pad "3" thru_hole circle (at 0 5) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 18 "Net-(ESPH1-RX2)") (pinfunction "TXD") (pintype "output") (tstamp 19f9568f-c53d-4a86-aa93-5bc827c5a3b1))
(pad "4" thru_hole circle (at 0 7.5) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 19 "Net-(ESPH1-TX2)") (pinfunction "RXD") (pintype "input") (tstamp fa958941-97d1-4212-a9c7-f2331e5d2188))
(pad "5" thru_hole circle (at 0 10) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 30 "unconnected-(LORA1-NRST-Pad5)") (pinfunction "NRST") (pintype "no_connect") (tstamp 778a4d3f-0ae6-45c9-b4bd-eb7f9eacecaf))
(pad "6" thru_hole circle (at 0 12.5) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 1 "Net-(LCD1-VCC)") (pinfunction "VDD") (pintype "power_in") (tstamp d5377d67-f017-47d4-9e4d-d3fb0795f093))
)
(footprint "ESP:POT Header" (layer "F.Cu")
(tstamp 6fb140f8-570e-4885-a8ad-ff78eca1ef58)
(at 131 90)
(property "Sheetfile" "longmon-hatt.kicad_sch")
(property "Sheetname" "")
(property "Sim.Enable" "0")
(path "/f0f1c45e-548e-49c1-909d-1df0ce9f6417")
(attr through_hole)
(fp_text reference "POTH1" (at 0 -5 270 unlocked) (layer "F.SilkS")
(effects (font (size 1 1) (thickness 0.153)))
(tstamp ffa55425-dcdc-44c8-beb9-06af3c2368a9)
)
(fp_text value "~" (at 7.5 1.5 unlocked) (layer "F.Fab") hide
(effects (font (size 1 1) (thickness 0.15)))
(tstamp 41129e91-bfc1-449b-9566-ac10756373dd)
)
(fp_text user "${REFERENCE}" (at 7.5 3 unlocked) (layer "F.Fab") hide
(effects (font (size 1 1) (thickness 0.15)))
(tstamp 0d5fcb51-4741-4584-80f6-56f151711634)
)
(pad "DIV" thru_hole circle (at 0 2.5) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 5 "Net-(ESPH1-D34)") (pinfunction "DIV") (pintype "output") (tstamp 716606c7-81f9-42f2-814b-429016facbcf))
(pad "GND" thru_hole circle (at 0 5) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 28 "Net-(LCD1-GND)") (pinfunction "GND") (pintype "power_in") (tstamp 5b851fce-8510-4090-901b-39974593f9fd))
(pad "VCC" thru_hole circle (at 0 0) (size 1.524 1.524) (drill 0.762) (layers "*.Cu" "*.Mask")
(net 1 "Net-(LCD1-VCC)") (pinfunction "VCC") (pintype "power_in") (tstamp 04353ef0-8001-42f1-b4bb-31a01e2fb153))
)
(footprint "ESP:LCD Module" (layer "F.Cu")
(tstamp 71ccb482-46e9-472f-bebf-a5159f9553f1)
(at 139.55 81.64)
(property "Sheetfile" "longmon-hatt.kicad_sch")
(property "Sheetname" "")
(property "Sim.Enable" "0")
(path "/96866659-8d87-4e40-9269-f7a61f3969b3")
(attr through_hole)
(fp_text reference "LCD1" (at 2.37 15.04 -90 unlocked) (layer "F.SilkS")
(effects (font (size 1 1) (thickness 0.153)))
(tstamp b5526984-bdfc-4ce9-8925-81fe4638bfce)
)
(fp_text value "~" (at 22.86 -9.12 unlocked) (layer "F.Fab") hide
(effects (font (size 1 1) (thickness 0.15)))
(tstamp 959dd62c-fd00-464c-b39e-d0c424cee2dd)
)
(image (at 165.05 95.64) (layer "F.SilkS") (scale 0.539307)
(data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