The SNiP-MSO is 'Sensor Node Integrated Package' for LoRaWAN or CAT-M1 communication of real-time weather station parameters for continuous environmental monitoring.
The base SNiP-MSO integrates 1x S-NODE and 1x MSO Integrated 5-parameter Weather Sensor to a site’s unique network, communication and power requirements. Alternatively, for greater data redundancy the SNiP-AWS package can integrate the MSO with 1x MFR-NODE, as it houses an SD card which can retain a copy of the data on site. Both the S-NODE and the MFR-NODE can support an added 3x Sensors.
Built upon the MetOne MSO integrated 5-parameter sensor, the SNiP-AWS is an easily deployed, high accuracy system designed for industry-grade applications. Measurements are provided on Wind Speed (m/sec), Wind Direction (°), Temperature (°C), Relative Humidity (RH %), Barometric Pressure (kPA), and Rainfall (mm).
Wind Speed and Wind Direction are measured using conventional cup and vane techniques. All other measurements are housed in a multi-plate naturally aspirated radiation shield to reduce solar radiation heating errors.
The temperature sensor is a platinum RTD. Relative humidity is a based on an accurate solid-state sensor designed for continuous exposure to adverse climates. The barometric pressure sensor is a robust piezo-resistive device featuring high accuracy and long-term stability. An external stainless steel 0.2mm/0.25mm precision tipping bucket rain gauge connects simply and allows for correct installation and siting per industry guidelines.
The system is powered by an 13Ah Li-Ion battery and 10 – 20W solar panel, scaled to suit the region of installation. The SNiP-MSO is supplied with all support and power and monitoring hardware making it a drop-in solution for any IoT Network.
See Further Specifications on the S-NODE
See Further Specifications on the MFR-NODE
See Further Specifications on the MSO Integrated 5-parameter Weather Sensor
Further parameters can be added to the SNiP, without requiring loggers to match each distinct sensor, substantially reducing the cost of getting a fuller picture on the application.
MetOne 905 Tripod
MetOne 191 Cross Arm
Features:
The S-NODE (for Environmental Monitoring) has been designed to support the broad suite of SDI-12 based environmental sensors. The S-NODE can support sensors with higher power requirements; a solar panel can charge either the internal lithium-ion battery or both the node and sensor can be powered by an external 12V system (e.g. battery or mains source).
A decoder suitable for TTN will be provided based upon sensor configuration.
The Multifunction Research Node has been designed to provide flexible communication, sensor and power options.
The MFR-NODE supports SDI-12 and 2 x dry contact digital inputs as well as optionally 2x differential / 4x single ended analogue inputs. The MFR-NODE supports sensors with higher power requirements; a solar panel can charge either the internal lithium-ion battery or both the node and sensor can be powered by an external 12V system (e.g. battery or mains source). Optional CAT-M1 provide an option for remote installation and in areas outside the range existing LoRaWAN networks. The optional multiconstellation GNSS ensures you won’t lose track of your device. The MFR-NODE has an onboard 8GB SD Card to provide data logging capabilities and full data redundancy in the event of temporary loss of communications or dropped packets – ideal for research applications.
The new MSO Automatic Weather Station from ICT International provides flexibility, accuracy and value for money.
The MSO is supplied with a preconfigured set of sensors for Air Temperature, Relative Humidity, Barometric Pressure, Wind Speed, Wind Direction, Rainfall, and Solar Radiation or PAR. The AWS automatically calculates Vapour Pressure Deficit (VPD) and Penman-Monteith Evapotranspiration.
The Weather Station is supplied with a cross arm and basic mounts so it can be attached to any type of customised mast. Alternatively a standard pole mast can be purchased with the system.
Temperature |
|
Units | °C |
Range | -40°C to + 120°C |
Resolution | 0.01°C |
Accuracy | +/- 0.3°C |
Excitation Voltage | 3.3 V |
Solar Radiation |
|
Units | W m2 |
Range | 0-1750 W m2 |
Resolution | 1 w m2 |
Accuracy | 1 w m2 |
Excitation Voltage | None Passive |
Humidity |
|
Units | RH% |
Range | 0-100% |
Resolution | 0.05% |
Accuracy | ± 2% |
Excitation Voltage | 3.3 V |
Quantum PAR |
|
Units | µmol m-2; s-1 |
Range | Full Sunlight 2,000 µmol m-2 s-1 |
Resolution | 2 µmol m-2 s-1 |
Accuracy | 2 µmol m-2 s-1 |
Excitation Voltage | None Passive |
Wind Direction |
|
Units | Degrees (°) |
Range | 0 to 360° |
Resolution | 1° (0 to 355°) |
Accuracy | 7° |
Excitation Voltage | None Passive |
Rainfall |
|
Units | mm |
Range | 0-500 mm/hr |
Resolution | 0.2 mm |
Accuracy | +/ 3% |
Excitation Voltage | 3.3 V |
Barometric Pressure |
|
Units | kPa |
Range | 50 kPa to 115 kPa |
Resolution | 0.15 kPa |
Accuracy | +/- 1 kPa |
Excitation Voltage | 3.3V @ 5 µA |
Wind Speed |
|
Units | m/s or km/hr |
Range | 0-58 m/s (0-209 km/hr) |
Resolution | 0.45 m/s (1.6 km/hr) |
Accuracy | +/- 5% |
Excitation Voltage | None Passive |