Work Vehicle Time Estimation Across Multiple Connected Fields
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Solution Overview
Problem
It is challenging to determine the time required for a work vehicle to perform work in multiple fields using conventional techniques, as they do not effectively account for the work history and movement history across connected fields.
Innovation Solution
A work management method that acquires work history information and movement history information for a work vehicle across multiple fields and outputs an estimated required time for the vehicle to complete work in these fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to calculate estimated work time, then the calculation is simple, but it cannot determine the time required for work in multiple fields
Solution Approach 1:
The system segments the work time calculation into distinct components: work time in each field and movement time on connecting roads. By dividing the total time determination into these separable parts, the system can accurately calculate time for multiple fields while maintaining manageable complexity through modular data collection and processing.
Solution Approach 2:
The system performs preliminary data collection by acquiring work history information and movement history information before calculating the estimated required time. This advance preparation of data from previous operations enables accurate multi-field time determination without increasing the complexity of the calculation process itself.
2Loss of information
If work history information and movement history information are collected across multiple fields, then accurate time estimation is achieved, but data collection complexity increases
Solution Approach 1:
The information acquisition unit is designed with multi-functionality to collect both work history information (work start/end times, work areas) and movement history information (movement start/end times, movement areas) using the same data collection mechanism. This universal approach enables comprehensive data gathering across multiple fields without requiring separate complex systems for each data type.
Solution Approach 2:
The work vehicle automatically collects and records its own work and movement history information during operations, eliminating the need for external manual data collection. This self-service capability ensures complete data acquisition across multiple fields while minimizing the complexity of external data gathering systems.
Data Source
AI summary
An acquisition processing unit acquires work history information on work performed by a work vehicle in each of a plurality of fields, and movement history information on movement performed by the work vehicle on one or more roads that connect the plurality of fields. An output processing unit outputs, based on the work history information and the movement history information, an estimated required time that is required for the work vehicle to perform work in the plurality of fields.