Detecting blockages in agricultural equipment using vibration sensors

A computer-implemented method, comprising, using a sampling computing device to perform operations comprising:

• receiving, from each a plurality of transducer computing devices, respective vibration input samples;
• generating a loop buffer corresponding to a most recent threshold number of vibration input samples received from each of the plurality of transducer computing devices including a first transducer computing device located within a predefined proximity to a first flow tube of an equipment and a second transducer device located within the predefined proximity to a second flow tube of the equipment;
• accessing, from the loop buffer, a most recent first vibration input sample logged by the first transducer computing device;
• using a trained model, assign the first vibration input sample to a first category of a set of categories for which the trained model is trained, each category of the set of categories specifying an operating condition of flow tubes of the equipment;
• accessing, from the loop buffer subsequent to accessing the first vibration input sample, a most recent second vibration input sample logged by a second transducer computing device;
• using the trained model, assign the second vibration input sample to a second category of the set of categories;
• responsive to assigning the first category to the first vibration input sample, incrementing an alarm counter associated with the first category;
• and
• responsive to determining that the alarm counter meets or exceeds an alert threshold, reporting, to a computing system, an alarm status for the first flow tube corresponding to the first category.

A system, comprising:

• one or more processors;
• and
• a non-transitory computer-readable storage medium comprising computer-executable instructions that, when executed by the processor, cause the system to perform operations comprising:
• receiving, from each a plurality of transducer computing devices, respective vibration input samples;
• generating a loop buffer corresponding to a most recent threshold number of vibration input samples received from each of the plurality of transducer computing devices including a first transducer computing device located within a predefined proximity to a first flow tube of an equipment and a second transducer device located within the predefined proximity to a second flow tube of the equipment;
• accessing, from the loop buffer, a most recent first vibration input sample logged by the first transducer computing device;
• using a trained model, assign the first vibration input sample to a first category of a set of categories for which the trained model is trained, each category of the set of categories specifying an operating condition of flow tubes of the equipment;
• accessing, from the loop buffer subsequent to accessing the first vibration input sample, a most recent second vibration input sample logged by a second transducer computing device;
• using the trained model, assign the second vibration input sample to a second category of the set of categories;
• responsive to assigning the first category to the first vibration input sample, incrementing an alarm counter associated with the first category;
• and
• responsive to determining that the alarm counter meets or exceeds an alert threshold, reporting, to a computing system, an alarm status for the first flow tube corresponding to the first category.