Forestry Machine Control System Driver Alertness Feedback
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Solution Overview
Problem
Existing forestry machine control systems primarily focus on machine performance, neglecting human factors that significantly impact productivity, leading to driver information overload and mental stress, with inadequate analysis of operational data.
Innovation Solution
A method and system that incorporate driver operation data into the control system to adjust parameters for improved fuel efficiency and productivity, monitoring both the machine and driver, and adapting to the driver's state of alertness, with the ability to correct erroneous operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the driver is provided with extensive reports and material about machine operation, then the information available for analysis increases, but the driver experiences information overload and mental stress, leading to inadequate analysis
Solution Approach 1:
The patent introduces an intermediary system (control system with processing unit) that acts as a mediator between the machine data and the driver. This intermediary automatically analyzes operational data, identifies deviations from optimal performance, and provides targeted feedback, thereby reducing the driver's information processing burden while maintaining high analysis quality
Solution Approach 2:
The system implements automated feedback mechanisms that continuously monitor machine operation and driver actions, comparing actual performance against optimal parameters. The feedback is processed and presented in a simplified manner that guides the driver toward improved performance without overwhelming them with raw data
2Productivity
If the control system monitors only machine performance parameters, then the technological performance monitoring is simplified, but human factors affecting productivity are ignored
Solution Approach 1:
The control system is designed with multi-functionality, serving both traditional machine performance monitoring and the new function of analyzing driver behavior and human factors. The processing unit handles diverse data types (machine parameters, operational patterns, driver actions) through a unified analysis framework, enabling productivity improvement without requiring completely separate systems
Solution Approach 2:
The system performs preliminary analysis of operational data to establish baseline performance patterns and identify optimal operating procedures before actual operation. This preliminary characterization of machine and driver behavior enables the system to provide proactive guidance and corrections, improving productivity before suboptimal patterns become entrenched
3Duration of action of moving object
If the driver operates the machine over long uninterrupted periods, then continuous operation is achieved, but the driver experiences mental stress and reduced analysis accuracy
Solution Approach 1:
The system implements continuous feedback monitoring of both machine operation and driver state throughout extended operating periods. By comparing actual performance against established baselines and providing real-time guidance, the system maintains analysis accuracy even during long uninterrupted operations when driver fatigue might otherwise degrade performance
Data Source
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AI summary
An apparatus comprising means for collecting data measured from operation and/or a state of a forestry machine and/or describing an environment thereof, which data may consist of one or more parameters, means for processing the collected data, and means for influencing, on the basis of the processed data, one or more parameters controlling the operation of the forestry machine or for conveying feedback or an instruction or a prompt to a driver to change his or her control.