20240045413. DETECTING BLOCKAGES IN AGRICULTURAL EQUIPMENT USING VIBRATION SENSORS simplified abstract (Trimble Inc.)

DETECTING BLOCKAGES IN AGRICULTURAL EQUIPMENT USING VIBRATION SENSORS

Organization Name

Trimble Inc.

Inventor(s)

Miles R. Porter of Minneapolis MN (US)

DETECTING BLOCKAGES IN AGRICULTURAL EQUIPMENT USING VIBRATION SENSORS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240045413 titled 'DETECTING BLOCKAGES IN AGRICULTURAL EQUIPMENT USING VIBRATION SENSORS

Simplified Explanation

The abstract describes a sampling device that receives vibration input samples from multiple transducer computing devices. The device generates a loop buffer containing the most recent samples received from each transducer device. It then accesses the most recent first sample logged by the first transducer device and assigns it to a category using a trained model. Subsequently, it accesses the most recent second sample logged by a second transducer device and assigns it to another category using the same model.

• The sampling device receives vibration input samples from multiple transducer computing devices.
• It generates a loop buffer containing the most recent samples received from each transducer device.
• The device accesses the most recent first sample logged by the first transducer computing device.
• It assigns the first input sample to a category using a trained model.
• The device then accesses the most recent second sample logged by a second transducer computing device.
• It assigns the second input sample to another category using the same trained model.

Potential Applications:

• Condition monitoring of equipment: The technology can be used to analyze vibrations in equipment and detect any anomalies or potential failures.
• Predictive maintenance: By categorizing vibration patterns, the device can help predict maintenance needs and schedule repairs or replacements in advance.
• Quality control: The technology can be applied in manufacturing processes to monitor vibrations and ensure product quality.

Problems Solved:

• Efficient data analysis: The sampling device simplifies the process of analyzing vibration data from multiple transducer devices by categorizing the samples using a trained model.
• Early fault detection: By continuously monitoring vibrations, the device can detect potential faults or abnormalities in equipment, allowing for timely maintenance or repairs.

Benefits:

• Improved equipment reliability: By detecting faults early, the technology helps prevent unexpected breakdowns and extends the lifespan of equipment.
• Cost savings: Predictive maintenance based on vibration analysis can reduce downtime and minimize repair costs.
• Enhanced product quality: By monitoring vibrations during manufacturing processes, the technology ensures that products meet quality standards.

Original Abstract Submitted

a sampling device receives, from each a plurality of transducer computing devices, respective vibration input samples. the sampling device generates a loop buffer corresponding to a most recent threshold number of samples received from each of the plurality of transducer computing devices including first and second transducer devices each located within a predefined proximity to first and second flow tubes of an equipment. the sampling device accesses, from the loop buffer, a most recent first sample logged by the first transducer computing device. the sampling device assigns, using a trained model, the first input sample to a first category of a set of categories. the sampling device accesses, from the loop buffer subsequent to accessing the first sample, a most recent second sample logged by a second transducer computing device and, using the model, assigns the second input sample to a second category of the set of categories.