<kuid:39134:102619> Defect Detector

Тип: scenery
Опубликовано: 27.09.2025 16:00:48
Скачиваний: 0
Размер: 296.7 kB

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This defect detector/hot box detector is fully equipped and can detect overheated bearings, overheatefd wheels, cold wheels, sliding wheels, dragging wheels, dragging equipment, high loads, and shifted or wide loads. It also scans the car information using intergrated AEI to report which car is defective. AEI (Automatic Equipment Identification reader system identifies rail equipment by reading electronically coded radio frequency identification (RFID) tags mounted to locomotives, railcars, trailers, end-of-train units and intermodal containers)
For more realisim I suggest adding Lars defect detector at the same location as this one. Lars defect detectors are scripted with sound and they accuratly count the axels and report them. They will have automaticaly downloaded with this detector, except for the clinchfield detector 30671:23308 which you will have to get from TPR. http://trainzproroutes.com/downloads/index.php?act=view&id=558

config.txt:

trainz-build                            2.4
category-class                          "WX"
category-region                         "US"
category-era                            "1990s;2000s"
username                                "Defect Detector"
kind                                    "scenery"
trackside                               0
author                                  "BNSF50"
contact-email                           "bnsf_50@att.net"
description                             "This defect detector/hot box detector is fully equipped and can detect overheated bearings,  overheatefd wheels,  cold wheels,  sliding wheels,  dragging wheels, dragging equipment,  high loads,  and shifted or wide loads.  It also scans the car information using intergrated AEI to report which car is defective. AEI (Automatic Equipment Identification reader system identifies rail equipment by reading electronically coded radio frequency identification (RFID) tags mounted to locomotives, railcars, trailers, end-of-train units and intermodal containers)
  For more realisim I suggest adding Lars defect detector at the same location as this one.  Lars defect detectors are scripted with sound and they accuratly count the axels and report them.  They will have automaticaly downloaded with this detector,  except for the clinchfield detector 30671:23308 which you will have to get from TPR. http://trainzproroutes.com/downloads/index.php?act=view&id=558"
license                                 "This item is supplied free of charge for personnel use by registered users of Trainz. It must not be modified, offered for sale or supplied as any part of a Payware package or provided for downloading on any site unless this is expressly permitted in writing by the author Clem Cummings."
kuid                                    <kuid:39134:102619>
mesh-table
{
  default
  {
    mesh                                "hot box detector.im"
    auto-create                         1
  }
}
thumbnails
{
  0
  {
    image                               "Preview.jpg"
    width                               240
    height                              180
  }
}
asset-filename                          "edit 5qe60qbu6"
kuid-table
{
  0                                     <kuid2:30671:23307:1>
  1                                     <kuid2:30671:23306:1>
}

Файлы:

hot box detector.im	46.0 kB
hot box detector.texture.txt	39 B
hot box detector.tga	192.5 kB
iron lattice aluminum-iron lattice aluminum.texture.txt	77 B
iron lattice aluminum.tga	1.0 MB
preview.jpg	42.1 kB
Общий объём файлов:	1.3 MB

Версии элемента:

kuid	kind	name	build	date	size
<kuid2:39134:102619:1>	scenery	Defect Detector	2.4	24.06.2020 11:35:28	297.0 kB
<kuid:39134:102619>	scenery	Defect Detector	2.4	27.09.2025 16:00:48	296.7 kB

Зависимости:

kuid	author	kind	name	build	date	size
<kuid2:30671:23306:3>	#30671	scenery	Defects detector, female voice	2.7	24.06.2020 11:39:45	512.6 kB
<kuid2:30671:23307:3>	#30671	scenery	Defects detector, male voice	2.7	12.06.2020 2:09:18	532.3 kB
Всего связей: 2, неизвестных связей: 0

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