MB PRO shows data gaps with GW1000 after FW upgrade to 1.5.9 (GW1000) **solved**
Posted: Sun May 31, 2020 9:22 pm
This post is mainly to document the issue for Boris and back the observations up with some data
SW Version: Meteobridge 4.3 (May 28 2020, build 13497), FW 1.4
I'm running an hourly export of the minute sensor values. Until upgrade to FW 1.5.9 everything was fine. After the upgrade line gaps (lines with missing minute data sensor values) appeared in the export. However the corresponding data were sent and stored to Ecowitt.net. Most of the gaps are 5 minutes long, some up to 8 minutes and one very large gap of more than an hour also shows in the MB Pro database ("archive").
The big one is shown below,
From discussions in the wxnet forum where I first published the issue I hear that there are more people who have similar observations after updating the GW1000 firmware to 1.5.9.
In order not to lose data I have switched to my GW1000 backup device which still runs on FW 1.5.6 and which now provides all minute data without gaps including soil moisture #1-#3, extra temp/humidity #1, and since MB Pro update from 28-May also my PM2.5 #1 and #2.
The fact that missing data in the MB Pro DB still show on Ecowitt.net suggests that we have here an issue with how MB handles the updated Ecowitt API which came with FW 1.5.9. Still not to be excluded that the isuue is on the Ecowitt end (or with both).
export data below - the two blank gaps inside a line come from the air0pm and air1pm sensors. Since 28-May upgrade they are filled with sensor data.
# date, time, temperature[C], humidity[%], dew point[C], sealevel pressure[hPa], avg wind speed[m/s], gust speed[m/s], winddir, rainfall00, Solar [W/m2], PM25(1) [ug/m3], PM25(2), extra-temp1 [°C], extra-hum [%], soil moisture (1) [%], SM2, SM3
2020-05-16,16:00,23.5,29,4.4,1018.7,0.5,1.0,190,0.0, 686.00, , , 25.2, 27, 47, 51, 41
2020-05-16,16:01,23.4,29,4.2,1018.9,0.5,1.5,184,0.0, 683.33, , , 25.2, 28, 47, 51, 41
2020-05-16,16:02,23.0,29,4.1,1018.6,0.0,0.5,143,0.0, 680.00, , , 25.3, 27, 46, 51, 41
2020-05-16,16:03,22.7,30,4.0,1018.8,0.2,0.5,146,0.0, 678.00, , , 25.3, 28, 46, 50, 41
2020-05-16,16:04,22.6,29,3.7,1018.8,0.0,0.0,152,0.0, 676.50, , , 25.4, 27, 47, 51, 41
2020-05-16,16:05,22.6,29,3.5,1018.8,0.0,0.5,137,0.0, 673.50, , , 25.4, 28, 47, 51, 41
2020-05-16,16:06,22.8,28,3.3,1018.8,0.1,0.5,129,0.0, 669.50, , , 25.4, 29, 47, 50, 41
2020-05-16,16:07,23.2,28,3.7,1018.8,0.0,0.0,129,0.0, 665.67, , , 25.4, 28, 47, 51, 41
2020-05-16,16:08,23.6,28,4.0,1018.7,0.1,0.5,140,0.0, 662.67, , , 25.4, 27, 46, 51, 41
2020-05-16,16:09,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:10,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:11,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:12,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:13,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:14,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, , 50, 41
2020-05-16,16:15,,,,,,,,, , , , , , , ,
2020-05-16,16:16,,,,,,,,, , , , , , , ,
2020-05-16,16:17,,,,,,,,, , , , , , , ,
2020-05-16,16:18,,,,,,,,, , , , , , , ,
2020-05-16,16:19,,,,,,,,, , , , , , , ,
2020-05-16,16:20,,,,,,,,, , , , , , , ,
2020-05-16,16:21,,,,,,,,, , , , , , , ,
2020-05-16,16:22,,,,,,,,, , , , , , , ,
2020-05-16,16:23,,,,,,,,, , , , , , , ,
2020-05-16,16:24,,,,,,,,, , , , , , , ,
2020-05-16,16:25,,,,,,,,, , , , , , , ,
2020-05-16,16:26,,,,,,,,, , , , , , , ,
2020-05-16,16:27,,,,,,,,, , , , , , , ,
2020-05-16,16:28,,,,,,,,, , , , , , , ,
2020-05-16,16:29,,,,,,,,, , , , , , , ,
2020-05-16,16:30,,,,,,,,, , , , , , , ,
2020-05-16,16:31,,,,,,,,, , , , , , , ,
2020-05-16,16:32,,,,,,,,, , , , , , , ,
2020-05-16,16:33,,,,,,,,, , , , , , , ,
2020-05-16,16:34,,,,,,,,, , , , , , , ,
2020-05-16,16:35,,,,,,,,, , , , , , , ,
2020-05-16,16:36,,,,,,,,, , , , , , , ,
2020-05-16,16:37,,,,,,,,, , , , , , , ,
2020-05-16,16:38,,,,,,,,, , , , , , , ,
2020-05-16,16:39,,,,,,,,, , , , , , , ,
2020-05-16,16:40,,,,,,,,, , , , , , , ,
2020-05-16,16:41,,,,,,,,, , , , , , , ,
2020-05-16,16:42,,,,,,,,, , , , , , , ,
2020-05-16,16:43,,,,,,,,, , , , , , , ,
2020-05-16,16:44,,,,,,,,, , , , , , , ,
2020-05-16,16:45,,,,,,,,, , , , , , , ,
2020-05-16,16:46,,,,,,,,, , , , , , , ,
2020-05-16,16:47,,,,,,,,, , , , , , , ,
2020-05-16,16:48,,,,,,,,, , , , , , , ,
2020-05-16,16:49,,,,,,,,, , , , , , , ,
2020-05-16,16:50,,,,,,,,, , , , , , , ,
2020-05-16,16:51,,,,,,,,, , , , , , , ,
2020-05-16,16:52,,,,,,,,, , , , , , , ,
2020-05-16,16:53,,,,,,,,, , , , , , , ,
2020-05-16,16:54,,,,,,,,, , , , , , , ,
2020-05-16,16:55,,,,,,,,, , , , , , , ,
2020-05-16,16:56,,,,,,,,, , , , , , , ,
2020-05-16,16:57,,,,,,,,, , , , , , , ,
2020-05-16,16:58,,,,,,,,, , , , , , , ,
2020-05-16,16:59,,,,,,,,, , , , , , , ,
2020-05-16,17:00,,,,,,,,, , , , , , , ,
2020-05-16,17:01,,,,,,,,, , , , , , , ,
2020-05-16,17:02,,,,,,,,, , , , , , , ,
2020-05-16,17:03,,,,,,,,, , , , , , , ,
2020-05-16,17:04,,,,,,,,, , , , , , , ,
2020-05-16,17:05,,,,,,,,, , , , , , , ,
2020-05-16,17:06,,,,,,,,, , , , , , , ,
2020-05-16,17:07,,,,,,,,, , , , , , , ,
2020-05-16,17:08,,,,,,,,, , , , , , , ,
2020-05-16,17:09,,,,,,,,, , , , , , , ,
2020-05-16,17:10,,,,,,,,, , , , , , , ,
2020-05-16,17:11,,,,,,,,, , , , , , , ,
2020-05-16,17:12,,,,,,,,, , , , , , , ,
2020-05-16,17:13,,,,,,,,, , , , , , , ,
2020-05-16,17:14,,,,,,,,, , , , , , , ,
2020-05-16,17:15,,,,,,,,, , , , , , , ,
2020-05-16,17:16,,,,,,,,, , , , , , , ,
2020-05-16,17:17,,,,,,,,, , , , , , , ,
2020-05-16,17:18,,,,,,,,, , , , , , , ,
2020-05-16,17:19,,,,,,,,, , , , , , , ,
2020-05-16,17:20,,,,,,,,, , , , , , , ,
2020-05-16,17:21,,,,,,,,, , , , , , , ,
2020-05-16,17:22,,,,,,,,, , , , , , , ,
2020-05-16,17:23,22.1,29,3.2,1018.4,0.6,1.5,169,0.0, 210.00, , , 23.5, 26, 46, 50, 38
2020-05-16,17:24,21.9,29,3.2,1018.3,0.5,1.0,180,0.0, 182.00, , , 23.5, 27, 46, 50, 38
2020-05-16,17:25,21.3,30,2.9,1018.4,0.5,1.0,156,0.0, 251.50, , , 23.5, 28, 46, 51, 37
2020-05-16,17:26,21.0,30,2.5,1018.3,0.1,1.0,159,0.0, 351.75, , , 23.5, 27, 46, 51, 38
2020-05-16,17:27,20.9,30,2.7,1018.5,0.7,1.5,189,0.0, 231.33, , , 23.4, 26, 46, 51, 38
sensor data uploaded to ecowitt.net (sequence inverse)
gaps in the MB Pro database for 5 sample sensors at from 16:00-17:30 CEST
SW Version: Meteobridge 4.3 (May 28 2020, build 13497), FW 1.4
I'm running an hourly export of the minute sensor values. Until upgrade to FW 1.5.9 everything was fine. After the upgrade line gaps (lines with missing minute data sensor values) appeared in the export. However the corresponding data were sent and stored to Ecowitt.net. Most of the gaps are 5 minutes long, some up to 8 minutes and one very large gap of more than an hour also shows in the MB Pro database ("archive").
The big one is shown below,
From discussions in the wxnet forum where I first published the issue I hear that there are more people who have similar observations after updating the GW1000 firmware to 1.5.9.
In order not to lose data I have switched to my GW1000 backup device which still runs on FW 1.5.6 and which now provides all minute data without gaps including soil moisture #1-#3, extra temp/humidity #1, and since MB Pro update from 28-May also my PM2.5 #1 and #2.
The fact that missing data in the MB Pro DB still show on Ecowitt.net suggests that we have here an issue with how MB handles the updated Ecowitt API which came with FW 1.5.9. Still not to be excluded that the isuue is on the Ecowitt end (or with both).
export data below - the two blank gaps inside a line come from the air0pm and air1pm sensors. Since 28-May upgrade they are filled with sensor data.
# date, time, temperature[C], humidity[%], dew point[C], sealevel pressure[hPa], avg wind speed[m/s], gust speed[m/s], winddir, rainfall00, Solar [W/m2], PM25(1) [ug/m3], PM25(2), extra-temp1 [°C], extra-hum [%], soil moisture (1) [%], SM2, SM3
2020-05-16,16:00,23.5,29,4.4,1018.7,0.5,1.0,190,0.0, 686.00, , , 25.2, 27, 47, 51, 41
2020-05-16,16:01,23.4,29,4.2,1018.9,0.5,1.5,184,0.0, 683.33, , , 25.2, 28, 47, 51, 41
2020-05-16,16:02,23.0,29,4.1,1018.6,0.0,0.5,143,0.0, 680.00, , , 25.3, 27, 46, 51, 41
2020-05-16,16:03,22.7,30,4.0,1018.8,0.2,0.5,146,0.0, 678.00, , , 25.3, 28, 46, 50, 41
2020-05-16,16:04,22.6,29,3.7,1018.8,0.0,0.0,152,0.0, 676.50, , , 25.4, 27, 47, 51, 41
2020-05-16,16:05,22.6,29,3.5,1018.8,0.0,0.5,137,0.0, 673.50, , , 25.4, 28, 47, 51, 41
2020-05-16,16:06,22.8,28,3.3,1018.8,0.1,0.5,129,0.0, 669.50, , , 25.4, 29, 47, 50, 41
2020-05-16,16:07,23.2,28,3.7,1018.8,0.0,0.0,129,0.0, 665.67, , , 25.4, 28, 47, 51, 41
2020-05-16,16:08,23.6,28,4.0,1018.7,0.1,0.5,140,0.0, 662.67, , , 25.4, 27, 46, 51, 41
2020-05-16,16:09,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:10,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:11,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:12,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:13,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, 46, 50, 41
2020-05-16,16:14,23.7,29,4.6,1018.6,0.2,1.0,154,0.0, 659.67, , , 25.3, 28, , 50, 41
2020-05-16,16:15,,,,,,,,, , , , , , , ,
2020-05-16,16:16,,,,,,,,, , , , , , , ,
2020-05-16,16:17,,,,,,,,, , , , , , , ,
2020-05-16,16:18,,,,,,,,, , , , , , , ,
2020-05-16,16:19,,,,,,,,, , , , , , , ,
2020-05-16,16:20,,,,,,,,, , , , , , , ,
2020-05-16,16:21,,,,,,,,, , , , , , , ,
2020-05-16,16:22,,,,,,,,, , , , , , , ,
2020-05-16,16:23,,,,,,,,, , , , , , , ,
2020-05-16,16:24,,,,,,,,, , , , , , , ,
2020-05-16,16:25,,,,,,,,, , , , , , , ,
2020-05-16,16:26,,,,,,,,, , , , , , , ,
2020-05-16,16:27,,,,,,,,, , , , , , , ,
2020-05-16,16:28,,,,,,,,, , , , , , , ,
2020-05-16,16:29,,,,,,,,, , , , , , , ,
2020-05-16,16:30,,,,,,,,, , , , , , , ,
2020-05-16,16:31,,,,,,,,, , , , , , , ,
2020-05-16,16:32,,,,,,,,, , , , , , , ,
2020-05-16,16:33,,,,,,,,, , , , , , , ,
2020-05-16,16:34,,,,,,,,, , , , , , , ,
2020-05-16,16:35,,,,,,,,, , , , , , , ,
2020-05-16,16:36,,,,,,,,, , , , , , , ,
2020-05-16,16:37,,,,,,,,, , , , , , , ,
2020-05-16,16:38,,,,,,,,, , , , , , , ,
2020-05-16,16:39,,,,,,,,, , , , , , , ,
2020-05-16,16:40,,,,,,,,, , , , , , , ,
2020-05-16,16:41,,,,,,,,, , , , , , , ,
2020-05-16,16:42,,,,,,,,, , , , , , , ,
2020-05-16,16:43,,,,,,,,, , , , , , , ,
2020-05-16,16:44,,,,,,,,, , , , , , , ,
2020-05-16,16:45,,,,,,,,, , , , , , , ,
2020-05-16,16:46,,,,,,,,, , , , , , , ,
2020-05-16,16:47,,,,,,,,, , , , , , , ,
2020-05-16,16:48,,,,,,,,, , , , , , , ,
2020-05-16,16:49,,,,,,,,, , , , , , , ,
2020-05-16,16:50,,,,,,,,, , , , , , , ,
2020-05-16,16:51,,,,,,,,, , , , , , , ,
2020-05-16,16:52,,,,,,,,, , , , , , , ,
2020-05-16,16:53,,,,,,,,, , , , , , , ,
2020-05-16,16:54,,,,,,,,, , , , , , , ,
2020-05-16,16:55,,,,,,,,, , , , , , , ,
2020-05-16,16:56,,,,,,,,, , , , , , , ,
2020-05-16,16:57,,,,,,,,, , , , , , , ,
2020-05-16,16:58,,,,,,,,, , , , , , , ,
2020-05-16,16:59,,,,,,,,, , , , , , , ,
2020-05-16,17:00,,,,,,,,, , , , , , , ,
2020-05-16,17:01,,,,,,,,, , , , , , , ,
2020-05-16,17:02,,,,,,,,, , , , , , , ,
2020-05-16,17:03,,,,,,,,, , , , , , , ,
2020-05-16,17:04,,,,,,,,, , , , , , , ,
2020-05-16,17:05,,,,,,,,, , , , , , , ,
2020-05-16,17:06,,,,,,,,, , , , , , , ,
2020-05-16,17:07,,,,,,,,, , , , , , , ,
2020-05-16,17:08,,,,,,,,, , , , , , , ,
2020-05-16,17:09,,,,,,,,, , , , , , , ,
2020-05-16,17:10,,,,,,,,, , , , , , , ,
2020-05-16,17:11,,,,,,,,, , , , , , , ,
2020-05-16,17:12,,,,,,,,, , , , , , , ,
2020-05-16,17:13,,,,,,,,, , , , , , , ,
2020-05-16,17:14,,,,,,,,, , , , , , , ,
2020-05-16,17:15,,,,,,,,, , , , , , , ,
2020-05-16,17:16,,,,,,,,, , , , , , , ,
2020-05-16,17:17,,,,,,,,, , , , , , , ,
2020-05-16,17:18,,,,,,,,, , , , , , , ,
2020-05-16,17:19,,,,,,,,, , , , , , , ,
2020-05-16,17:20,,,,,,,,, , , , , , , ,
2020-05-16,17:21,,,,,,,,, , , , , , , ,
2020-05-16,17:22,,,,,,,,, , , , , , , ,
2020-05-16,17:23,22.1,29,3.2,1018.4,0.6,1.5,169,0.0, 210.00, , , 23.5, 26, 46, 50, 38
2020-05-16,17:24,21.9,29,3.2,1018.3,0.5,1.0,180,0.0, 182.00, , , 23.5, 27, 46, 50, 38
2020-05-16,17:25,21.3,30,2.9,1018.4,0.5,1.0,156,0.0, 251.50, , , 23.5, 28, 46, 51, 37
2020-05-16,17:26,21.0,30,2.5,1018.3,0.1,1.0,159,0.0, 351.75, , , 23.5, 27, 46, 51, 38
2020-05-16,17:27,20.9,30,2.7,1018.5,0.7,1.5,189,0.0, 231.33, , , 23.4, 26, 46, 51, 38
sensor data uploaded to ecowitt.net (sequence inverse)
gaps in the MB Pro database for 5 sample sensors at from 16:00-17:30 CEST