Mobile Docking Station for Autonomous Device Deployment and Retrieval
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Solution Overview
Problem
Current monitoring systems with sensors and connected components lack an efficient method for deploying, servicing, and managing autonomous or semi-autonomous devices, such as drones, across various locations, especially in scenarios requiring rapid response and resource optimization.
Innovation Solution
A mobile docking station system that navigates to locations of interest, deploys devices for missions, and performs service actions like charging and maintenance, utilizing a central control unit to determine device assignments based on request priority, capabilities, and location, enabling efficient deployment and retrieval of devices within a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a mobile docking station system is implemented to deploy and service autonomous devices across various locations, then device deployment efficiency and coverage are improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The system segments device management functions across multiple mobile docking stations rather than using a single centralized facility. Each docking station operates semi-autonomously, deploying and retrieving devices independently within its service area, which distributes system complexity while maintaining high deployment efficiency
Solution Approach 2:
Mobile docking stations perform self-service through autonomous navigation to locations, self-assignment of devices based on detected conditions, and self-management of deployment/retrieval operations. The central control unit provides high-level coordination while individual stations make local decisions, reducing overall system complexity
2Loss of time
If mobile docking stations perform frequent deployment and retrieval operations, then response time to service requests is reduced, but energy consumption increases
Solution Approach 1:
Mobile docking stations perform preliminary actions by proactively navigating to areas where service requests are anticipated or conditions indicate potential issues before they escalate. The system detects conditions and assigns devices in advance, allowing docking stations to prepare and respond more efficiently without excessive energy expenditure from reactive operations
Solution Approach 2:
The system uses periodic monitoring of conditions and structured intervals for deployment and retrieval operations. Rather than continuous high-energy operations, mobile docking stations engage in periodic service cycles based on detected conditions and service request patterns, optimizing the balance between response time and energy consumption
3Area of stationary object
If autonomous devices are deployed to remote or hard-to-reach locations, then service coverage is extended, but difficulty of retrieval and maintenance increases
Solution Approach 1:
The system transitions from static docking stations to mobile docking stations that can dynamically navigate to remote locations, deploy devices, and then return for retrieval. This mobility extends service coverage to areas previously inaccessible while maintaining ease of retrieval, as the same mobile unit that deployed the device can retrieve it after completing its mission
Solution Approach 2:
Mobile docking stations serve as intermediary units between the central control system and autonomous devices in remote locations. They handle the complex tasks of navigation, deployment, and retrieval, shielding the central system from the complexity of direct remote operations and enabling extended coverage without proportionally increasing overall system complexity
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a mobile docking station. In some implementations, a method for a mobile docking station includes receiving a service request from a first user; determining assignment details based on the service request; determining a plurality of devices to send to a location based on the assignment details; deploying the plurality of devices to the location; receiving data from a first device of the plurality of devices; based on the data, scheduling a pickup of the first device; and deploying a second device for the pickup of the first device.