IIoT Task Scheduling for Emergency Manufacturing Without Line Disruption

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Solution Overview

Problem

Intelligent manufacturing equipment faces challenges in executing emergency or temporary manufacturing tasks without disrupting ongoing production, due to interconnected systems and spare working-hours not being utilized efficiently.

Innovation Solution

The Industrial Internet of Things (IIoT) system is implemented, comprising a task module, process processing module, and analysis module, along with user, service, management, sensor network, and object platforms. This system generates instructions, determines manufacturing process information, decomposes processes, and performs feasibility analyses to execute tasks efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If intelligent manufacturing equipment executes emergency or temporary manufacturing tasks, then the urgent product manufacturing tasks can be completed in time, but it will disrupt the ongoing production of established products and cause heavy losses

Engineering Contradiction:

Improvetime to complete emergency manufacturing tasksVSAvoidstability of ongoing production

Core Design Contradiction:

Loss of timeVSReliability

Solution Approach 1:

The patent segments the manufacturing process into multiple sub-processes that can be independently executed. When emergency tasks arise, the system can allocate specific sub-processes to different equipment without stopping the entire production line, allowing urgent tasks to be completed while maintaining ongoing production stability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic task allocation and scheduling mechanisms that allow the manufacturing system to adapt in real-time. When emergency tasks are detected, the system dynamically adjusts equipment assignments and process sequences, enabling flexible response to urgent demands while preserving overall production reliability.

Inventive Principle:

Principle #15Dynamics

2Productivity

If intelligent manufacturing equipment operates at full capacity to meet production line balance rate, then production efficiency is maximized, but spare working-hours cannot be utilized and manufacturing flexibility is reduced

Engineering Contradiction:

Improveproduction line balance rateVSAvoidmanufacturing flexibility

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent performs preliminary feasibility analysis and spare capacity identification before emergency tasks arise. By pre-analyzing which equipment has available working-hours and which sub-processes can be relocated, the system prepares in advance for potential emergency tasks, enabling quick deployment without compromising normal production efficiency.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements continuous monitoring and feedback mechanisms that track equipment utilization, spare working-hours, and production status in real-time. This feedback enables the system to dynamically identify and allocate available capacity to emergency tasks while maintaining optimal productivity levels for ongoing production.

Inventive Principle:

Principle #23Feedback

3Reliability

If manufacturing process information is processed as a whole, then comprehensive analysis is achieved, but the complexity of task decomposition and allocation increases

Engineering Contradiction:

Improvecompleteness of manufacturing analysisVSAvoidcomplexity of task decomposition system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent automatically decomposes manufacturing process information into standardized sub-processes with defined interfaces and dependencies. This segmentation reduces the complexity of task allocation by breaking down complex manufacturing tasks into manageable units that can be independently analyzed and assigned to appropriate equipment.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary layer (the process management system) that handles the complexity of task decomposition and allocation. This intermediary translates high-level manufacturing requirements into detailed sub-process assignments, shielding users from the underlying complexity while ensuring comprehensive analysis and reliable execution.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12332637B2Industrial internet of things, control methods, and storage mediums for automatic executing product manufacturing based on tasks

Publication Date: 2025.06.17 CHENGDU QINCHUAN IOT TECH CO LTD

AI summary

The present disclosure provides an Industrial Internet of Things for automatic executing product manufacturing based on a task, comprising a task module, a process processing module, and an analysis module. The task module is configured to generate a product manufacturing task and a first instruction corresponding to the product manufacturing task, the process processing module is configured to determine manufacturing process information based on the first instruction, decompose the manufacturing process information and generate sub-process manufacturing data, and the analysis module is configured to 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.