Mobile Device Offloading for Industrial Compute Services
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Solution Overview
Problem
Industrial systems face challenges in efficiently offloading computational tasks from intelligent industrial devices to mobile devices connected to their networks, limiting the ability to perform complex analytics and troubleshooting within the industrial network.
Innovation Solution
A method where a mobile device connected to an industrial network receives a chainable compute service assignment from an intelligent industrial device or a cloud-based system, enabling it to perform computational tasks such as feature extraction, configuration, and troubleshooting by utilizing its processor and communication interface to interact with the industrial network and cloud-based servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If computational tasks are performed locally on intelligent industrial devices, then processing speed is improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent extracts computational tasks from intelligent industrial devices and relocates them to mobile devices. The intelligent industrial device publishes compute service assignments that offload feature extraction, configuration, and troubleshooting tasks to mobile devices, reducing local processing requirements while maintaining processing speed.
Solution Approach 2:
The patent introduces an industrial network as an intermediary between intelligent industrial devices and mobile devices. The network facilitates communication and task distribution, allowing computational work to be transferred to mobile devices without requiring direct connection or increasing complexity of the intelligent industrial device.
2Device complexity
If computational tasks are offloaded to mobile devices, then device complexity of industrial devices is reduced, but processing speed may decrease
Solution Approach 1:
The patent implements preliminary action by having mobile devices pre-load necessary data and resources before executing computational tasks. The industrial system publishes compute service assignments in advance, allowing mobile devices to prepare for task execution and minimize latency when actual processing occurs.
3Productivity
If mobile devices are used for computational tasks, then productivity is improved, but reliability of industrial system may decrease
Solution Approach 1:
The patent implements feedback mechanisms where mobile devices report task completion status and results back to the industrial system through the industrial network. The intelligent industrial device receives and processes this feedback, ensuring that computational tasks are properly completed and integrated into the overall system operation, thereby maintaining reliability while improving productivity.
Data Source
AI summary
A method includes, using a mobile device connected to an industrial network of an industrial system, receiving a chainable compute service assignment from a first intelligent industrial device of the industrial system that assigns a chainable compute service to the mobile device or assignment from a cloud-based device or system connected to the industrial network that assigns the chainable compute service to the mobile device; and using the mobile device, performing the chainable compute service.