Drone Inventory Verification Using Aerial Imaging and Weather Routing
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Solution Overview
Problem
Current inventory management systems in steel-making plants are prone to operator error and equipment failure, leading to inaccurate tracking of inventory locations and discrepancies, as they rely on indirect methods like GPS and sensor positioning without independent verification.
Innovation Solution
A drone-based inventory management system that includes a central management server and drones equipped with imaging devices, which determine inventory discrepancies, capture images, and update inventory records, operating in pre-determined routes based on weather conditions and location-specific tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking and indirect methods (GPS, sensor positioning) are used for inventory management, then the system is simple to operate, but the measurement precision and reliability of inventory tracking deteriorate due to operator error and equipment failure
Solution Approach 1:
The patent introduces drones as intermediary devices equipped with imaging devices to capture images of inventory items. These drones act as mediators between the inventory items and the central management server, providing independent verification of inventory locations and quantities without relying on manual tracking or indirect GPS/sensor methods. The imaging devices on drones capture visual evidence that can be analyzed to determine precise inventory status.
Solution Approach 2:
The patent replaces manual mechanical tracking methods with automated aerial imaging technology. Instead of relying on operators to physically track and record inventory positions, the system uses drones with imaging devices to automatically capture and transmit visual data about inventory locations and conditions to the central management server for processing.
2Reliability
If manual inventory tracking is used, then the device complexity is low, but the reliability deteriorates due to operator error and lack of independent verification
Solution Approach 1:
The drones serve as independent intermediary verification devices that objectively capture inventory status without human intervention. The imaging devices on drones provide independent verification of inventory locations and quantities, eliminating reliance on operator accuracy and providing reliable, auditable visual evidence of inventory conditions.
Solution Approach 2:
The system implements feedback loops where the central management server receives image data from drones, processes the information to determine inventory status, and can dispatch additional drones for verification when discrepancies are detected. This feedback mechanism continuously monitors and verifies inventory accuracy, improving reliability through iterative validation.
3Measurement precision
If automated drone-based tracking is implemented, then the measurement precision and reliability improve, but the device complexity and operational complexity increase
Solution Approach 1:
The drones are designed to autonomously perform inventory tracking tasks without requiring continuous human operation. They automatically navigate to inventory locations, capture images, and transmit data to the central management server. The system self-manages the inventory verification process, reducing the need for manual intervention while maintaining high measurement precision.
Solution Approach 2:
The drone system is designed with multi-functionality to handle various inventory management tasks including tracking, verification, and discrepancy detection. The central management server can dispatch drones for different purposes and the same drones can perform multiple functions, reducing the need for specialized equipment for each task and simplifying overall system operation.
4Reliability
If frequent drone dispatches are made for verification, then the reliability and accuracy of inventory management improve, but the loss of time and energy consumption increase
Solution Approach 1:
Instead of continuous monitoring that would require constant drone operation, the system uses periodic action by dispatching drones at scheduled intervals or when specific triggers occur (such as suspected discrepancies). This periodic verification maintains reliability while minimizing the time and energy associated with continuous drone operation.
Solution Approach 2:
The system applies partial action by dispatching drones only when verification is needed rather than continuously monitoring all inventory. The central management server can selectively dispatch drones to specific locations or for specific verification tasks based on risk assessment or detected anomalies, reducing overall time and energy consumption while maintaining adequate reliability.
Data Source
AI summary
Drone-based inventory management method and systems. One embodiment provides a drone-based inventory management system including one or more unmanned aerial vehicles (UAVs), and a central management system having an electronic processor, and a transceiver configured to communicate with the one or more UAVs. The electronic processor is configured to determine a discrepancy in inventory and select a UAV for verification. The electronic processor is also configured to determine whether weather permits UAV operation and operate the UAV in a pre-determined route when the weather permits UAV operation. The electronic processor is further configured to capture images using the UAV and determine new inventory based on captured images. The electronic processor is also configured to update inventory based on the new inventory.