System and method for a universal, noninvasive, multi-industry integrity monitoring and control platform

A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations comprising:

• acquiring sensor data from a sensor positioned external to a container, the sensor data indicative of a property of contents within the container;
• loading, onto an edge computing module, a machine learning model selected from a plurality of industry-specific machine learning models based on a target industry associated with the container;
• processing the sensor data using the loaded machine learning model to generate a prediction regarding the contents of the container;
• and
• transmitting the prediction to a remote computing system.

A system for noninvasive monitoring of containerized assets across multiple industries, comprising:

• a sensor configured for external mounting to a container;
• and
• one or more processors configured to perform operations comprising:
• acquiring sensor data from the sensor, the sensor data indicative of a property of contents within the container;
• loading, onto an edge computing module, a machine learning model selected from a plurality of industry-specific machine learning models based on a target industry associated with the container;
• processing the sensor data using the loaded machine learning model to generate a prediction regarding the contents of the container;
• and
• transmitting the prediction to a remote computing system.