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CHESTER Meteo

This article describes the core functionality, hardware description, and example JSON message of the catalog application CHESTER Meteo.

caution

Some of the basics are not provided, as they are common for all CHESTER catalog applications. For example, see the article 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 mainboard
  • CHESTER-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 mainboard
  • CHESTER-X0B:A - Input module (4 channels)
  • CHESTER-Z1 - Backup module
  • 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 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

info

You can easily explore the whole command tree structure - start with the help command.

caution

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
}
]
}
}
]
}