Dynamic Sensor Sampling Rate Adjustment for Agricultural Machines
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Solution Overview
Problem
Agricultural machines face limitations in processing large quantities of sensor data due to their limited computing power, as they typically operate with fixed sampling rates that result in excessive data collection, overwhelming the processing capabilities.
Innovation Solution
A system and method that utilize a controller to adjust the sampling rate of sensors on agricultural machines based on operational parameters such as speed, location, and proximity to topographical features, ensuring constant data density and optimizing data collection to match computational capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors operate at high sampling rates to capture detailed operational data, then measurement precision and data quality improve, but the quantity of data generated increases, overwhelming the limited processing capacity of onboard computers
Solution Approach 1:
The patent applies dynamics by making the sampling rate adjustable rather than fixed. The controller dynamically changes the sampling rate based on operational conditions (such as machine speed, terrain type, and operational phase), allowing the system to capture sufficient detail when needed while reducing data volume during routine operations, thus balancing measurement precision with processing capacity
Solution Approach 2:
The patent implements parameter changes by modifying the sampling rate parameter based on operational context. The controller adjusts this key parameter to optimize the balance between data quality and quantity, changing it from a static value to a dynamic variable that adapts to different working conditions, thereby resolving the contradiction between capturing detailed data and managing data volume
2Reliability
If a fixed high sampling rate is used to ensure constant data density, then measurement reliability improves, but processing load increases beyond the capability of limited onboard computing resources
Solution Approach 1:
The system transitions from a static fixed sampling rate to a dynamic adjustable sampling rate that responds to operational conditions. This allows the system to maintain reliable data collection when conditions warrant it while reducing processing load during normal operations, effectively balancing reliability with computational power requirements
3Adaptability or versatility
If numerous sensors are installed to comprehensively monitor agricultural operations, then adaptability and monitoring capability improve, but the total data generation increases exponentially, exceeding processing capacity
Solution Approach 1:
By implementing dynamic sampling rate adjustment across multiple sensors, the system maintains comprehensive monitoring capability while adapting the data collection intensity to actual operational needs. This allows numerous sensors to be deployed for versatility without generating excessive data, as the sampling rate is optimized based on real-time conditions
Solution Approach 2:
The patent applies parameter changes by adjusting the sampling rate parameter for multiple sensors based on operational context. This coordinated adjustment across the sensor network maintains comprehensive monitoring adaptability while controlling the total data volume to match processing capacity
Data Source
AI summary
In one aspect, a system for adjusting a sampling rate of a sensor mounted on an agricultural machine may include an agricultural machine and a sensor mounted on the agricultural machine, with the sensor being configured to capture data at a sampling rate. The system may also include a controller communicatively coupled to the sensor. The controller may be configured to receive an input indicative of an operational parameter of the agricultural machine and adjust the sampling rate at which the sensor captures data based on the received input.