Hi-res multi-stackable analog input extension board for SDI-12 USB adapter or SDI-12 Data loggerDesigned by Liudr arduino and physics gadgets in United States of America
Due to semiconductor shortage, this item is temporarily out of stock on tindie. Check the following link for any remaining stock. **Check remaining stock PC Win 7/10/Mac/Linux/Raspberry PI/Beagle Bon…Read More…
Due to semiconductor shortage, this item is temporarily out of stock on tindie. Check the following link for any remaining stock.
PC Win 7/10/Mac/Linux/Raspberry PI/Beagle Bone Black compatible
This product is an extension board for the following product(s) and only works when you have one of these products.
This extension board with SDI-12 USB adapter can achieve the same goals as the SDI-12 USB + Analog adapter. The combination takes twice the vertical space than the SDI-12 USB + Analog adapter but also allows the addition of other extension boards (such as accelerometers, magnetometers, gyroscopes etc that I can customize for you).
SDI-12 sensors are widely used in environmental monitoring including soil, streams, plants etc. On the other hand, data loggers designed for SDI-12 sensors are usually expensive and proprietary, making it harder to monitor and study soils and streams on a budget. This SDI-12 USB adapter makes it possible to directly interface SDI-12, Analog sensors, and GPS with a PC/Mac/Linux/RPI/BBB, on a budget. I have built numerous SDI-12 sensor data loggers. This is my latest design that is very easy to use. It also comes with free and open-source data logger program (Python script) for all operating systems. A section on SDI-12 sensors will guide you through it. A $5 Raspberry PI Zero is more than sufficient to log data.
Included features: SDI-12 + Analog
In theory, all SDI-12 sensors should work with my adapter. I have so far tested these sensors to work:
Apogee: SI-411 (standard field of view infrared radiometer)
Aquacheck:CKC 6 sensor probe
Gill Instruments: WindSonic Ultrasonic Wind Sensor
HSTI: HydraSCOUT multi-sensor soil moisture and temperature probe
METER group (formally Decagon):
Ponsel:Digital turbidity sensor
Sutron: Accubar Barometric Pressure Sensor, Model 5600-0120-3
Analog sensors (SDI-12 + Analog):
Data Logging (WIN 7/10/Mac/Linux/RPI/BBB)
Manual and data logging scripts from my blog (scroll to bottom):
You can sit back and watch the PC/RPI/BBB data collection Python script collect data automatically Sensor address Total data points Delay between data points GMT or Local time zone Just run the data logger script in Python. Your data will be stored where this script is so if you store the script in a cloud drive, you will be able to view your data remotely.
File Format Your data will be stored in comma-separated-value (.CSV) format. The file name is the date and time when the script starts logging data. There are at least three columns. The first column is the date and time the data point is collected. Depending on your choice, it is either in GMT/UTC or local time. The next column is the sensor address. The third column is the first value returned by your sensor. If your sensor returns more than one value, additional columns will contain additional values. This file format is ready to be read by any major data analysis tools such as Excel, Open Office Calc, or the more expensive Origin Pro. Here is a sample of data collected from a Decagon 5TM soil temperature and moisture sensor. The first data column is the relative dielectric constant (1 for air, yes, it’s NOT in soil). The second data column is temperature.
2015/10/31 18:30:59, 1, +1.04, +25.0 2015/10/31 18:31:27, 1, +1.04, +24.9 Telemetry Your PC or RPI/BBB must have access to the internet. Your data are sent to a server and stored there ready for retrieval and plotting in a web browser.
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