Agricultural Sensor Data Control for Remote Operation Bandwidth
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Solution Overview
Problem
Existing agricultural machine systems face challenges in maintaining stable data communication rates during remote maneuvering, leading to potential disruptions in image quality and operational efficiency due to interference or congestion, especially as the number of connected devices increases.
Innovation Solution
The system adapts by adjusting the data amount of sensing data output from sensors, such as cameras and LiDAR, based on the communication rate, reducing resolution, point cloud data, or angular ranges when the rate decreases, and implementing compensation operations like reducing speed or data transmission in areas with low communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the data amount of sensing data is increased to improve image quality and remote maneuvering precision, then the communication rate decreases due to interference or congestion, but if the data amount is reduced to maintain communication rate, then the image quality and maneuvering precision deteriorate
Solution Approach 1:
The sensor dynamically adjusts the data amount of sensing data based on the communication rate. When the communication rate decreases due to interference or congestion, the sensor reduces the data amount (e.g., lowering resolution or reducing point cloud density). When the communication rate is high, the sensor increases the data amount to improve image quality and maneuvering precision. This dynamic adjustment resolves the contradiction by making the system adaptable to varying communication conditions.
Solution Approach 2:
The sensor changes parameters of the sensing data such as resolution, point cloud density, or angular range depending on the communication rate. By modifying these parameters, the system maintains optimal communication performance while preserving sufficient image quality for remote maneuvering tasks.
2Measurement precision
If the data amount of sensing data is increased to improve remote maneuvering precision, then the communication bandwidth requirement increases, but the available bandwidth decreases due to device congestion
Solution Approach 1:
The system dynamically adjusts the data amount based on available bandwidth. When congestion is detected (indicated by decreased communication rate), the sensor reduces data amount to match available bandwidth. When bandwidth is abundant, the sensor increases data amount to maximize maneuvering precision.
Solution Approach 2:
The sensor modifies parameters such as resolution, point cloud density, or sampling frequency to adapt to available bandwidth conditions, ensuring efficient use of communication resources while maintaining adequate maneuvering precision.
3Stability of the object's composition
If high resolution sensing data is transmitted continuously, then the communication stability decreases due to interference, but if low resolution data is transmitted, then the remote operation quality deteriorates
Solution Approach 1:
The sensor adjusts resolution dynamically based on communication stability. When interference is detected (communication rate decreases), the sensor lowers resolution to maintain stable transmission. When communication is stable (high communication rate), the sensor increases resolution to improve remote operation quality.
Solution Approach 2:
The sensor changes resolution parameters adaptively, modifying data amount to match communication conditions. This ensures stable communication while preserving sufficient operational quality through parameter optimization.
Data Source
AI summary
An agricultural machine includes a vehicle body, a sensor to sense an environment around the vehicle body to output sensing data, and a communication device to transmit the sensing data output from the sensor to a remote device. The sensor changes a data amount of the sensing data output to the communication device, depending on a communication rate from the communication device to the remote device.


