CHESTER Meteo
This article describes the core functionality, hardware description, and example JSON message of the catalog application CHESTER Meteo.
Some of the basics are not provided, as they are common for all CHESTER catalog applications. Please see:
- Getting started on how to connect device to Cloud.
- Common functionality to know how LED, button and network configuration works.
- Platform Management on how to work with the interactive console.
Application Overview
CHESTER Meteo is a wind and environmental sensor that samples, aggregates, and sends measured variables.
The catalog application CHESTER Meteo measures:
- Wind speed (m/s)
- Wind direction (0-360°)
- Rainfall (mm)
- Atmospheric pressure (Pa)
- Temperature (°C)
- Humidity (%RH)
Application Variants
CHESTER Meteo can be ordered in one of these variants:
CHESTER Meteo
The hardware of this application consists of the following ordering codes:
CHESTER-M-BCGLS- Standard mainboardCHESTER-X0B:A- Input module (4 channels)CHESTER-S2- External hygrometer- External barometer
CHESTER-E1-LP- Enclosure with SMA pigtail
See Ordering Codes for more details.
Firmware build shield options: ctr_barometer_tag ctr_ds18b20 ctr_lte ctr_s2 ctr_meteo_a ctr_soil_sensor
CHESTER Meteo Z
The hardware of this application consists of the following ordering codes:
CHESTER-M-BCGLS- Standard mainboardCHESTER-X0B:A- Input module (4 channels)CHESTER-Z1- Backup moduleCHESTER-S2- External hygrometer- External barometer
CHESTER-E1-LP- Enclosure with SMA pigtail
See Ordering Codes for more details.
Firmware build shield options: ctr_barometer_tag ctr_ds18b20 ctr_lte ctr_s2 ctr_meteo_a ctr_soil_sensor ctr_z
Measurement and Behavior
- All sensors are sampled with a configurable period (parameter
interval-sample). - Samples are then aggregated in the configurable interval. Minimum, maximum, average, and median are computed from buffered samples for each sensor (parameter
interval-aggreg). - Each aggregated values have its timestamps and are sent in a batch in a report interval period (parameter
interval-report).
Wind speed
Wind speed is measured continuously between samples (interval-sample). Every wind speed sample is an average wind speed between two samples. On every aggregation (interval-aggreg) these samples are aggregated, and minimum, maximum, average, and median are computed from buffered samples.
With this continuous measurement, you can accurately get minimal, maximal, and average wind speed from every aggregation.
Default Configuration
This is the default configuration (printed using the app config show command):
app config interval-sample 60
app config interval-aggreg 300
app config interval-report 1800
Specific Commands
You can easily explore the whole command tree structure - start with the help command.
To apply a new configuration, you need to call config save, which applies the new configuration parameters and reboots the device.
Command to set sample interval in seconds:
app config interval-sample <1-86400>
Command to set aggregate interval in seconds:
app config interval-aggreg <1-86400>
Command to set report interval in seconds:
app config interval-report <30-86400>
Command to read current values for testing purposes:
meteo read ctr_meteo_a
Firmware
The latest firmware is available in Catalog Applications Firmware chapter.
Example JSON Message
In each structure with the current configuration, there are six aggregated values. Each aggregated value has its timestamp and is computed from multiple samples, and min, max, avg, and mdn values are calculated.
Wind speed is in meters per second.
Pressure is in pascals.
{
"message": {
"version": 1,
"sequence": 1,
"timestamp": 1675784614
},
"attribute": {
"vendor_name": "HARDWARIO",
"product_name": "CHESTER-M",
"hw_variant": "CDGLS",
"hw_revision": "R3.2",
"fw_name": "CHESTER Meteo",
"fw_version": "v2.0.0",
"serial_number": "2159018267"
},
"system": {
"uptime": 361,
"voltage_rest": 3.6,
"voltage_load": 3.56,
"current_load": 35
},
"backup": {
"line_voltage": 24.21,
"batt_voltage": 3.41,
"state": "connected",
"events": [
{
"timestamp": 1675784338,
"type": "disconnected"
},
{
"timestamp": 1675784518,
"type": "connected"
}
]
},
"network": {
"imei": 351358815180770,
"imsi": 901288910018982,
"parameter": {
"eest": 7,
"ecl": 0,
"rsrp": -83,
"rsrq": -4,
"snr": 14,
"plmn": 23003,
"cid": 939040,
"band": 20,
"earfcn": 6447
}
},
"thermometer": {
"temperature": 21.37
},
"accelerometer": {
"acceleration_x": -0.23,
"acceleration_y": 0.07,
"acceleration_z": 9.49,
"orientation": 2
},
"weather_station": {
"wind_speed": {
"measurements": [
{
"timestamp": 1675784338,
"min": 0,
"max": 4,
"avg": 2.78,
"mdn": 2.8
},
{
"timestamp": 1675784398,
"min": 3.91,
"max": 4.13,
"avg": 4,
"mdn": 4
},
{
"timestamp": 1675784458,
"min": 3.86,
"max": 4.13,
"avg": 4.03,
"mdn": 4
},
{
"timestamp": 1675784518,
"min": 3.86,
"max": 4.13,
"avg": 4.03,
"mdn": 4
},
{
"timestamp": 1675784578,
"min": 4,
"max": 4.26,
"avg": 4.13,
"mdn": 4.13
}
]
},
"wind_direction": {
"measurements": [
{
"timestamp": 1675784338,
"value": 0
},
{
"timestamp": 1675784398,
"value": 0
},
{
"timestamp": 1675784458,
"value": 0
},
{
"timestamp": 1675784518,
"value": 7
},
{
"timestamp": 1675784578,
"value": 45
}
]
},
"rainfall": {
"measurements": [
{
"timestamp": 1675784338,
"value": 0
},
{
"timestamp": 1675784398,
"value": 0
},
{
"timestamp": 1675784458,
"value": 0
},
{
"timestamp": 1675784518,
"value": 2.79
},
{
"timestamp": 1675784578,
"value": 2.79
}
]
}
},
"barometer": {
"pressure": {
"measurements": [
{
"timestamp": 1675784338,
"min": 98070,
"max": 98075,
"avg": 98072,
"mdn": 98073
},
{
"timestamp": 1675784398,
"min": 98071,
"max": 98078,
"avg": 98072,
"mdn": 98074
},
{
"timestamp": 1675784458,
"min": 98070,
"max": 98070,
"avg": 98070,
"mdn": 98070
},
{
"timestamp": 1675784518,
"min": 98071,
"max": 98078,
"avg": 98072,
"mdn": 98074
},
{
"timestamp": 1675784578,
"min": 98070,
"max": 98075,
"avg": 98072,
"mdn": 98073
}
]
},
},
"hygrometer": {
"temperature": {
"measurements": [
{
"timestamp": 1675784338,
"min": 21.53,
"max": 21.67,
"avg": 21.59,
"mdn": 21.6
},
{
"timestamp": 1675784398,
"min": 21.44,
"max": 21.56,
"avg": 21.51,
"mdn": 21.53
},
{
"timestamp": 1675784458,
"min": 21.47,
"max": 21.67,
"avg": 21.53,
"mdn": 21.52
},
{
"timestamp": 1675784518,
"min": 21.43,
"max": 21.58,
"avg": 21.49,
"mdn": 21.5
},
{
"timestamp": 1675784578,
"min": 21.39,
"max": 21.57,
"avg": 21.47,
"mdn": 21.44
}
]
},
"humidity": {
"measurements": [
{
"timestamp": 1675784338,
"min": 38.86,
"max": 39.04,
"avg": 38.95,
"mdn": 38.95
},
{
"timestamp": 1675784398,
"min": 38.93,
"max": 39.14,
"avg": 39.04,
"mdn": 39.07
},
{
"timestamp": 1675784458,
"min": 38.85,
"max": 39.15,
"avg": 39.02,
"mdn": 39.02
},
{
"timestamp": 1675784518,
"min": 38.89,
"max": 39.15,
"avg": 39.08,
"mdn": 39.08
},
{
"timestamp": 1675784578,
"min": 38.88,
"max": 39.11,
"avg": 39.02,
"mdn": 39.03
}
]
}
},
"w1_thermometers": [
{
"serial_number": 170694685,
"measurements": [
{
"timestamp": 1675784338,
"min": 21.93,
"max": 22.06,
"avg": 22,
"mdn": 22
},
{
"timestamp": 1675784398,
"min": 22.12,
"max": 22.18,
"avg": 22.13,
"mdn": 22.12
},
{
"timestamp": 1675784458,
"min": 22.12,
"max": 22.12,
"avg": 22.12,
"mdn": 22.12
},
{
"timestamp": 1675784518,
"min": 22.12,
"max": 22.12,
"avg": 22.12,
"mdn": 22.12
},
{
"timestamp": 1675784578,
"min": 22.12,
"max": 22.12,
"avg": 22.12,
"mdn": 22.12
}
]
}
],
"soil_sensors": [
{
"serial_number": 203181,
"temperature": {
"measurements": [
{
"timestamp": 1675784338,
"min": 22,
"max": 22.06,
"avg": 22.03,
"mdn": 22.06
},
{
"timestamp": 1675784398,
"min": 22.06,
"max": 22.12,
"avg": 22.07,
"mdn": 22.06
},
{
"timestamp": 1675784458,
"min": 22.06,
"max": 22.12,
"avg": 22.07,
"mdn": 22.06
},
{
"timestamp": 1675784518,
"min": 22,
"max": 22.06,
"avg": 22.03,
"mdn": 22.06
},
{
"timestamp": 1675784578,
"min": 22,
"max": 22.06,
"avg": 22.03,
"mdn": 22.06
}
]
},
"moisture": {
"measurements": [
{
"timestamp": 1675784338,
"min": 6256,
"max": 6288,
"avg": 6272,
"mdn": 6272
},
{
"timestamp": 1675784398,
"min": 6272,
"max": 6288,
"avg": 6278,
"mdn": 6272
},
{
"timestamp": 1675784458,
"min": 6272,
"max": 6304,
"avg": 6280,
"mdn": 6272
},
{
"timestamp": 1675784518,
"min": 6256,
"max": 6304,
"avg": 6268,
"mdn": 6272
},
{
"timestamp": 1675784578,
"min": 6256,
"max": 6304,
"avg": 6268,
"mdn": 6272
}
]
}
}
]
}