IIoT Parameter Control Layout for Consistent Production Quality
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Solution Overview
Problem
In large factories, production line devices of the same type often manufacture products with varying quality due to different manufacturing parameters, making it labor-intensive and time-consuming to find and update optimal parameters across all devices, which affects manufacturing operations and product quality.
Innovation Solution
An Industrial Internet of Things (IIoT) system with a five-platform structure, including a user platform, service platform, management platform, sensor network platform, and object platform, allows for continuous optimization and updating of manufacturing parameters across sub-production line devices through a main production line device, using data collectors and centralized management to determine and apply optimal parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manufacturing parameters are manually updated across multiple production line devices, then product quality can be improved, but the workload increases significantly and the process becomes time-consuming
Solution Approach 1:
The patent creates a virtual copy of the production line devices in the form of digital twins. These digital twins replicate the physical devices' parameters, states, and behaviors, allowing parameter optimization to be performed on the virtual model and then automatically transferred to the physical devices. This eliminates manual parameter copying and updates across multiple devices.
Solution Approach 2:
The patent introduces an intermediary system comprising a server and digital twin technology that mediates between parameter optimization needs and device updates. The server acts as an intermediary that receives optimization requests, processes them through the digital twin model, and automatically distributes optimized parameters to all connected production line devices, eliminating manual intervention.
2Manufacturing precision
If manufacturing parameters are manually updated across multiple production line devices, then product quality can be improved, but the workload and labor requirements increase significantly
Solution Approach 1:
The patent enables the production line devices to self-update their parameters through the digital twin system. When optimization is performed on the digital twin, the system automatically pushes updated parameters to the physical devices without requiring manual intervention. The devices receive and apply parameter updates autonomously, significantly reducing labor requirements.
Solution Approach 2:
The patent replaces the manual mechanical process of parameter updating with an automated information-based system. Instead of physically accessing each device to change parameters, the system uses digital communication networks to transmit optimized parameters electronically to all devices, eliminating the need for manual operations.
3Adaptability or versatility
If the same type of production line devices operate with different manufacturing parameters, then individual device flexibility is maintained, but product quality consistency across devices deteriorates
Solution Approach 1:
The patent creates a universal parameter management system that serves all production line devices of the same type through a common digital twin model. The system can simultaneously manage and optimize parameters for multiple devices, ensuring they all operate with consistent, optimized parameters while maintaining the ability to adapt to specific device requirements when necessary.
Solution Approach 2:
The patent implements a feedback mechanism where the digital twin continuously monitors the performance and product quality of physical devices. Based on this feedback, the system automatically adjusts and optimizes parameters across all devices to maintain consistent product quality. The feedback loop ensures that any deviations in parameter performance are detected and corrected systematically.
Data Source
AI summary
The present disclosure discloses an Industrial Internet of Things (IIoT) system for automatic control of production line manufacturing parameters, which comprises a user platform, a service platform, a management platform, a sensor network platform and an object platform that interact in turn. The service platform adopts centralized layout, and the management platform and the sensor network platform adopt independent layout. The present disclosure also discloses a control method of the IIoT for automatic control of production line manufacturing parameters. The present disclosure builds the IIoT based on the five platform structure, in which the sensor network platform and the management platform are arranged independently, and each corresponding platform includes a plurality of independent sub-platforms, so that the independent sensor network platform and the management platform can be used for each production line device to form an independent data processing channel and transmission channel, and reduce the data processing capacity and transmission capacity of each platform.


