Timber Harvesting Worklogs for Machine Path and Volume Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The forestry industry faces challenges in efficiently managing timber harvesting operations due to limited operational data and information, which hinders productivity and supply chain visibility across multiple stages, including felling, transportation, and processing.
Innovation Solution
A method and apparatus for obtaining and processing data from timber handling machines to generate worklogs, which include determining working areas, volumes, and productivity metrics, enabling real-time monitoring and decision-making across the timber harvesting supply chain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If forestry telematics solutions capture and send operational data from on-site machines, then information availability for decision making improves, but the amount of useful and actionable information remains limited
Solution Approach 1:
The system segments operational data into distinct categories (machine location, working area, timber volume, productivity metrics) and processes each segment through appropriate analytical methods. This segmentation transforms raw operational data into structured, actionable information segments that can be independently analyzed and applied to specific decision-making needs across the supply chain.
Solution Approach 2:
The patent adds spatial and temporal dimensions to traditional operational data by incorporating machine location tracking, working area mapping, and time-based productivity analysis. This dimensional expansion transforms one-dimensional operational records into multi-dimensional datasets that provide comprehensive visibility across the timber harvesting supply chain, enabling more reliable and actionable insights.
2Productivity
If multiple timber handling machines operate in remote areas simultaneously, then harvesting productivity increases, but coordination and monitoring complexity increases
Solution Approach 1:
The system merges data from multiple independent timber handling machines into a unified monitoring framework. By combining location data, working area information, and productivity metrics from all machines into a single integrated system, the patent enables centralized coordination and monitoring without increasing individual machine complexity, thus maintaining high productivity while reducing operational complexity.
Solution Approach 2:
The system implements continuous feedback loops where operational data from multiple machines is collected, analyzed, and used to provide real-time guidance back to machine operators and supervisors. This feedback mechanism enables dynamic coordination of multiple machines in remote areas, optimizing productivity while simplifying monitoring through automated data collection and analysis.
3Measurement precision
If working areas of multiple machines are calculated independently, then individual machine productivity measurement is accurate, but overlap and double-counting of timber volume occurs
Solution Approach 1:
The system performs preliminary actions by establishing a centralized coordinate system and spatial reference framework before calculating working areas. Machine locations and working areas are continuously tracked and updated in real-time, allowing the system to proactively identify and resolve potential overlaps before they result in double-counting, thus maintaining both individual measurement precision and overall volume accuracy.
Solution Approach 2:
The patent introduces a centralized monitoring system as an intermediary that mediates between individual machine measurements and overall timber volume accounting. This intermediary receives data from all machines, performs spatial analysis to detect overlaps, and adjusts volume calculations accordingly, preserving the precision of individual measurements while ensuring accurate total volume accounting across the entire operation.
Data Source
AI summary
A method and system for timber harvesting and supply chain management are disclosed, focusing on supporting forestry and timber harvesting productivity and utilization monitoring the timber harvesting supply chain. The method involves obtaining performance data from timber handling machines and determining the volume of timber processed by analyzing machine paths, work operations, and the working area, coupled with regional timber volume data. The system generates worklogs, providing useful insights into timber handling activities, which can be used to direct further timber harvesting actions. The present invention offers improvements over existing methods by offering a tool for data driven decision-making, thus optimizing operational workflows and resource management.