Are you sure those data are “normal”? Martin Odesláno z iPhonu 14. 12. 2020 v 1:10, alastair gott <alastairgott@hotmail.com>:
Hi Andrew, if you can get deg,mins,secs to work in survex then you can use the .3d file with the surveys use command. (But I think from your careful wording, you already know this).
import use.3d -surveys use
Not ideal afaik for “mixing local and global coordinates” so tricky if your going for a kml output if you have to use with mixed .3d and normal .th files.
It would be good if you could select a lookup file for the Clino, then you could easily create a translation file in excel and save that as a .th for your total station .th file to lookup to. But no idea if this is feasible or even an idea at all.
Al.
Sent from my iPhone
On 13 Dec 2020, at 18:15, Andrew Atkinson <andrew@wotcc.org.uk> wrote:
Hello
I thought that there was a way I could stop the out of range error, but I cannot now find it. It would be an a useful command to have as instead of negative readings we got readings between 270 and 359, which although strange is valid. In survex readings over 90 are just a warning, which seems far more sensible, the problem is that I don't think that I can enter the data in survex either without conversion as I don't think that degrees minutes and seconds can be entered.
So I'm stuck with data that I have to convert, for different reasons depending on whether I use survex of therion.
Here is part of the file, I have quiet a few
survey
centreline data normal from to clino compass tape ignoreall 1 2 1:08:25 83:37:40 17.88 2 3 00:00:00 -:-:- 0.055 3 - 02:39:00 266:49:00 3.206 3 - 314:28:20 299:57:45 2.02 3 - 16:32:25 312:13:20 1.246 3 - 06:22:35 84:16:10 1.17 3 - 309:16:45 84:15:50 1.846 3 - 55:00:10 122:44:50 0.77 3 - 325:02:55 249:55:45 1.014 3 5 359:30:50 338:07:25 16.674 5 - 306:52:00 262:23:20 1.402 5 - 59:29:30 343:51:30 1.076 5 - 305:08:25 358:34:30 1.274 5 - 315:26:20 90:51:35 1.632 5 - 29:12:45 77:01:35 1.891 5 - 19:55:50 33:02:00 3.071 5 - 348:22:35 31:08:25 3.707 5 - 350:35:20 15:31:25 4.292 5 - 13:29:35 15:31:20 4.202 5 - 12:24:50 30:20:20 7.919 5 6 17:29:05 31:28:50 6.444 6 - 307:24:35 149:47:35 1.738 6 - 344:44:40 149:45:30 1.426 6 - 77:05:35 149:36:05 1.523 6 - 306:05:00 314:12:10 0.84 6 - 353:47:50 94:54:35 2.091 6 - 00:42:00 219:31:40 5.446 6 - 18:33:50 230:03:05 4.468 6 7 12:26:05 241:13:00 4.272
.....etc
Anyone got a solution that does not mean I have to convert in a spreadsheet?
thanks
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