Cloud computer system for controlling remote devices
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Solution Overview
Problem
Autonomous systems face challenges in ensuring consistent results and controlling complex subsystems across deployments, particularly in automated manufacturing processes like food production, where individual control of devices is necessary to achieve desired outcomes.
Innovation Solution
A cloud-based operating system that uses a cloud server to generate instructions for a local server, which distributes specific instructions to remote devices for execution, allowing for coordinated task performance across a cluster of devices, including robotic systems and IoT devices, to manage the execution of predefined processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a cloud-based operating system with centralized instruction generation is implemented, then control consistency across remote devices is improved, but system complexity and communication overhead increase
Solution Approach 1:
The patent introduces a cloud-based operating system as an intermediary layer between the user and remote devices. This mediator generates standardized instructions from high-level commands, translating them into device-specific operations. The intermediary handles the complexity of coordinating multiple devices, ensuring consistent control while shielding users from underlying system complexity.
Solution Approach 2:
The system segments control functionality into distinct layers: command interpretation, instruction generation, and device execution. The cloud-based operating system separates the intelligence of command processing from the execution on remote devices, allowing consistent control policies to be applied centrally while devices remain relatively simple execution units.
2Manufacturing precision
If individual control of each remote device is enabled, then task execution precision is improved, but coordination difficulty and control complexity increase
Solution Approach 1:
The cloud-based operating system provides a universal instruction format that can control multiple different types of remote devices through a common interface. This universal layer handles device-specific variations, allowing precise individual control of each device while maintaining simplified overall control through standardized commands applicable across the entire device cluster.
3Adaptability or versatility
If a distributed architecture with local servers is used, then system flexibility and autonomy are improved, but communication overhead and latency increase
Solution Approach 1:
The patent extracts the complex instruction generation logic from individual devices and concentrates it in the cloud-based operating system. Local servers retain simplified execution capabilities, taking only the generated instructions and distributing them to remote devices. This extraction reduces communication overhead by minimizing the need for complex back-and-forth negotiations while preserving system flexibility through the distributed architecture.
Data Source
AI summary
In one embodiment, the present disclosure includes a cloud computing system for controlling a plurality of remote devices. The cloud computing system generates a set of instructions from a plurality of commands and corresponding operations to control the remote devices. In some embodiments, the system may be used to automatically produce an item, such as a food item.