Forecasting TRIZ Cases
- AGV Dispatching Control System with Digital Twin Mediator
A server mediates AGV scheduling instructions via digital twins to resolve manufacturer incompatibility and enable unified production line management.
- Prescription Plan Generation for Crop Canopy Management
Vehicle-mounted sensors collect canopy imagery and geo-position data to generate event maps and targeted remedy plans, reducing resource wastage.
- Maintenance Range Optimization via Machine Learning
A maintenance range optimization apparatus uses machine learning to construct a cost model from historical data.
- Inventory Forecasting System Using Time-Span Segmentation
A computer system segments stock keeping units to determine forecast values and order quantities across different time spans.
- Construction Machine Maintenance Prediction Using Wear and Load Data
A maintenance system predicts component service life using wear states and cumulative load amounts to set overhaul priorities.
- Server Load Prediction via Preliminary Simulation
A server load prediction system simulates production conditions to forecast computing resource demands before hardware changes occur.
- Well Placement Optimization Using Dynamic Productivity Index
Pre-calculating dynamic parameters for all grid blocks resolves the contradiction between high placement accuracy and excessive computational time.
- Virtual Power Plant Scheduler for Grid Dispatch Optimization
A virtual power plant scheduler aggregates distributed energy resources to optimize dispatch efficiency and reduce operational costs.
- Weighted Risk Evaluation Framework for Flight Safety
A weighted risk evaluation framework processes categorized flight parameters to generate actionable safety recommendations.
- Utility Asset Management System for Weather Risk Prediction
A utility asset management system integrates weather data with infrastructure parameters to generate dynamic response plans.
- Access Control Path Determination Using Historical Position Data
A system determines optimal paths for user devices by analyzing historical position data and access patterns to automate door activation.
- GHG Emission Estimation Using Precipitation-Adjusted Vehicle Usage Functions
Integrating first and second approximation functions to calculate corrected vehicle usage rates, resolving inaccuracy from ignoring environmental factors.
- Hybrid Deep Learning Model for Real-Time Fire Development Prediction
A hybrid deep learning model integrates simulation and actual fire data to predict fire development situations.