Thermo-electrical wireless sensor for high-frequency electrical impedance with solar recharge

A method for monitoring a material using a sensor system, the method comprising:

• providing a sensor node comprising a sensor enclosure, a solar panel positioned on a surface of the sensor enclosure, at least one probe connection port, and processing circuitry housed within the sensor enclosure;
• providing a sensor probe detachably attachable to the sensor node, the sensor probe comprising a probe enclosure, a thermocouple positioned within the probe enclosure for temperature measurement, at least two conductive contact points positioned within the probe enclosure for electrical measurements, and a cable connecting the probe enclosure to the sensor node via the at least one probe connection port;
• receiving, by the processing circuitry, temperature data from the thermocouple;
• receiving, by the processing circuitry, electrical measurement data from the at least two conductive contact points;
• processing, by the processing circuitry, the received temperature data and electrical measurement data;
• and
• wirelessly transmitting, by the processing circuitry, the processed data to an external device.

A sensor system comprising:

• a sensor node comprising:
• a sensor enclosure;
• a solar panel positioned on a surface of the sensor enclosure;
• at least one probe connection port;
• and
• processing circuitry housed within the sensor enclosure;
• and
• a sensor probe detachably attachable to the sensor node, the sensor probe comprising:
• a probe enclosure;
• a thermocouple positioned within the probe enclosure for temperature measurement;
• at least two conductive contact points positioned within the probe enclosure for electrical measurements;
• and a cable connecting the probe enclosure to the sensor node via the at least one probe connection port;
• wherein the processing circuitry is configured to:
• receive temperature data from the thermocouple;
• receive electrical measurement data from the at least two conductive contact points;
• process the received temperature data and electrical measurement data using a machine learning model;
• generate predictions related to a monitored medium based on the processed data;
• and
• wirelessly transmit the processed data and predictions to an external device.