Social Drone Delivery Using User Profile and Dynamic Location
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Solution Overview
Problem
Current drone systems are inefficient for delivering products or services that consumers need immediately, as they require manual operation and are not easily adaptable to changing user locations, and they lack user control and sharing capabilities, leading to high labor costs and supplier dominance in the sharing economy.
Innovation Solution
A drone system that allows users to order and control drones via mobile terminals using social network information, with automatic payment processing and dynamic location updates, enabling drones to find users and perform tasks based on user profiles, and allowing for drone sharing and specialization through a mobile app integrated with social networks and search engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual control of drones is used for product delivery, then delivery can be achieved, but it is very time consuming and labor intensive
Solution Approach 1:
The drone system performs delivery tasks autonomously without requiring manual control. The drone navigates, transports products, and completes delivery independently based on programmed instructions, eliminating the need for continuous human operation and significantly reducing delivery time.
Solution Approach 2:
The system pre-programs drone routes and delivery parameters before execution. By preparing delivery paths and instructions in advance, the drone can execute deliveries efficiently without real-time human intervention, improving productivity while reducing the time required for actual delivery execution.
2Ease of operation
If drones are controlled by mobile phones with social network integration, then user control and flexibility are improved, but system complexity increases
Solution Approach 1:
The mobile phone application with social network integration serves as an intermediary between the user and the drone system. It provides a user-friendly interface for ordering products, tracking deliveries, and controlling drones without exposing the user to the underlying system complexity. The social network integration enables seamless user authentication and profile management.
Solution Approach 2:
The mobile application integrates multiple functions including product ordering, drone control, location tracking, payment processing, and social network authentication into a single platform. This multi-functional approach improves ease of operation by consolidating controls while managing complexity through integrated architecture.
3Adaptability or versatility
If multiple drones are used with the same terminal, then service versatility is improved, but control software installation becomes tedious
Solution Approach 1:
The mobile application is designed as a universal control platform that can manage multiple drones simultaneously. The system establishes unique communication channels for each drone through the social network infrastructure, allowing users to control multiple drones without installing separate control software for each device, thus maintaining service versatility while eliminating installation complexity.
Solution Approach 2:
The system uses social network profile copies to represent and manage multiple drones through a single terminal. Each drone is associated with a digital representation in the social network system, allowing the user to control multiple drones through their existing social network account without additional software installations.
4Productivity
If drone tasks are highly specialized, then task efficiency is improved, but the investment in providing instructions increases
Solution Approach 1:
The system pre-programs specialized drone tasks and routes based on social network user profiles and historical data. By preparing task instructions, optimal routes, and delivery parameters in advance, the system enables highly specialized drone operations with minimal real-time instruction, improving task efficiency while reducing the time required for instruction provision.
Data Source
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AI summary
The invention discloses a waitressing drone that brings drinks to people at the restaurant, and the orders are identified from the Facebook photo of the user, that the drone displays when making the delivery. The invention facilitates the interaction with humans and drones via the social network. With the invention, the order input time is greatly reduced for the consumer, and the consumer may move about while waiting for the order as the drone finds the consumer. Also importantly, the social nature of the drone allows for the sharing of drones among multiple human users. Further, the interfacing of the social human profile with non-human drone profiles allows for the continuous retraining and reprogramming of drones to meet more specific and individualistic user tasks, thereby liberating people from mundane manual labour.