IIoT Task Decomposition for Spare-Hour Manufacturing Scheduling
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Solution Overview
Problem
Intelligent manufacturing equipment struggles to efficiently utilize spare working-hours to execute emergency or temporary manufacturing tasks without disrupting ongoing production, leading to inefficiencies and potential losses due to interconnected systems that cannot be stopped.
Innovation Solution
A five-platform structure is implemented, with a front sub-platform arrangement for service and management platforms and centralized data processing for the sensor network, enabling data decomposition, classification, and centralized transmission to manage and control manufacturing tasks efficiently, ensuring independent data processing and transmission paths for seamless task execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If intelligent manufacturing equipment executes emergency or temporary manufacturing tasks, then manufacturing flexibility and responsiveness are improved, but production stability and system reliability deteriorate due to the interconnected nature of the equipment preventing individual equipment from stopping
Solution Approach 1:
The patent segments the manufacturing task into multiple sub-tasks that can be distributed to different equipment. When an emergency task arises, the system divides it into sub-tasks and assigns them to equipment with spare working-hours, while other equipment continues their current tasks independently. This segmentation allows the system to respond to emergency tasks without disrupting the overall production stability, as each equipment segment operates independently based on its capacity.
2Productivity
If intelligent manufacturing equipment utilizes spare working-hours for additional manufacturing tasks, then productivity is improved, but manufacturing precision and quality control worsen due to the complexity of coordinating multiple tasks across interconnected equipment
Solution Approach 1:
The patent implements a feedback mechanism where the central control system continuously monitors the working status, task progress, and quality metrics of all equipment. When equipment with spare working-hours accepts additional manufacturing tasks, the system receives real-time feedback on task execution and quality outcomes. Based on this feedback, the system dynamically adjusts task allocation and provides guidance to maintain manufacturing precision, ensuring that increased productivity does not compromise quality control.
3Reliability
If the system performs manufacturing feasibility analysis before task execution, then task completion reliability is improved, but response time for emergency tasks worsens due to the analysis process taking time
Solution Approach 1:
The patent performs preliminary actions by pre-evaluating the working-hour capacity and availability status of all equipment in advance. The central control system maintains updated information about which equipment has spare working-hours and is capable of accepting additional tasks. When an emergency manufacturing task arises, this pre-prepared information allows the system to quickly identify suitable equipment and allocate tasks without performing time-consuming feasibility analysis from scratch, thus maintaining both high reliability and fast response time.
Data Source
AI summary
Industrial Internet of Things for automatic executing product manufacturing based on a task is provided. The Industrial Internet of Things is configured to generate a product manufacturing task and a first instruction corresponding to the product manufacturing task, determine manufacturing process information based on the first instruction, decompose the manufacturing process information and generate sub-process manufacturing data, compose a set of manufacturing data based on the sub-process manufacturing data and the process execution time, perform a manufacturing feasibility analysis based on the set of manufacturing data, in response to a determination that an analysis result of the manufacturing feasibility analysis is feasible, perform the product manufacturing corresponding to sub-process based on the sub-process manufacturing data.