Autonomous Work Machine Control Using Illuminance-Based Operation Adjustment
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Solution Overview
Problem
Existing autonomous work machines face challenges in efficiently adjusting work frequency and intensity based on varying illuminance conditions within a work region, as analyzing growing conditions using sensor data is time-consuming and complex.
Innovation Solution
The work machine is equipped with illuminance sensors that measure and transmit illuminance information to a control apparatus, which adjusts the work machine's advancing direction, speed, travel mode, and work mode based on real-time illuminance data, allowing for easier management of work intensity and frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the work machine uses sensor data to analyze growing conditions, then the work frequency and intensity can be adjusted according to plant needs, but the analysis process becomes time-consuming and complex
Solution Approach 1:
The patent extracts only the essential illuminance parameter from complex sensor data to determine work frequency and intensity. By focusing solely on illuminance information rather than analyzing all sensor data, the system achieves rapid adaptation to plant growth conditions without time-consuming comprehensive analysis.
Solution Approach 2:
The system changes the approach from analyzing multiple sensor parameters to using a single key parameter (illuminance) to control work operations. This parameter simplification enables real-time adjustment of work frequency and intensity while avoiding the time loss associated with complex multi-parameter analysis.
2Measurement precision
If the work machine uses comprehensive sensor data analysis to determine work parameters, then accurate growing conditions can be assessed, but the system complexity increases
Solution Approach 1:
The patent extracts the most critical information (illuminance) from available sensor data to assess growing conditions. This extraction approach maintains measurement precision for the key growth factor while significantly reducing system complexity by eliminating the need for complex multi-sensor integration and analysis systems.
Solution Approach 2:
Instead of using comprehensive sensor analysis to achieve accurate assessment, the patent inverts the approach by using simplified illuminance measurement to achieve the same assessment accuracy. This inversion reduces system complexity while maintaining the essential measurement precision needed for work parameter determination.
3Productivity
If the work machine adjusts operations based on real-time illuminance data, then operational efficiency improves, but the control system complexity increases
Solution Approach 1:
The work machine performs self-adjustment of work frequency and intensity based on illuminance data without requiring complex centralized control. The control unit automatically processes illuminance information and adjusts operations independently, improving productivity while keeping the control system relatively simple through autonomous decision-making.
Solution Approach 2:
The system uses changes in illuminance parameters to directly trigger corresponding changes in work operations. This direct parameter-based control approach improves operational efficiency by enabling real-time adaptation while avoiding the complexity of multi-layer control algorithms and sophisticated control system architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the work machine to conveniently and effectively manage work frequencies and intensities by analyzing illuminance, reducing the complexity of analyzing growing conditions and improving operational efficiency.
Implementation Method 1
obtain illuminance information indicating at least one of (i) an illuminance of the work machine and (ii) an illuminance of a region located on an advancing direction of the work machine
Data Source
AI summary
A growing state of a plant is appropriately managed with a convenient method. For example, a control apparatus to control a work machine with an autonomous movement function includes an illuminance information obtaining section to obtain the illuminance information indicating at least one of (i) the illuminance of the work machine in motion and (ii) the illuminance of a region located on an advancing direction of the work machine in motion and a control section to control at least one of an advancing direction, an advancing speed, a work mode and a travel mode of the work machine based on the illuminance information obtained by the illuminance information obtaining section.