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

VSEngineering 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

Engineering Contradiction:
Improveimage qualityVSAvoidcommunication rate
Core Design Contradiction:
Measurement precisionVSReliability

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.

Inventive Principle:
Principle #15Dynamics

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.

Inventive Principle:
Principle #35Parameter changes

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

Engineering Contradiction:
Improveremote maneuvering precisionVSAvoidcommunication bandwidth
Core Design Contradiction:
Measurement precisionVSQuantity of substance

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.

Inventive Principle:
Principle #15Dynamics

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.

Inventive Principle:
Principle #35Parameter changes

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

Engineering Contradiction:
Improvecommunication stabilityVSAvoidremote operation quality
Core Design Contradiction:
Stability of the object's compositionVSMeasurement precision

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.

Inventive Principle:
Principle #15Dynamics

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.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20240341215A1Agricultural machine, sensing system, sensing method, remote operation system, and control method
Publication Date: 2024.10.17 KUBOTA CORP
  • US20240341215A1 patent drawing
  • US20240341215A1 patent drawing
  • US20240341215A1 patent drawing

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.