Dual-Platform IIoT Layout for Production Parameter Updates
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Solution Overview
Problem
In large factories, production line devices of the same type often manufacture with different quality due to varying processing parameters, making it labor-intensive and time-consuming to find and update optimal manufacturing parameters across all devices, which affects product quality and manufacturing efficiency.
Innovation Solution
An industrial IoT system with a dual independent platform structure, comprising a user platform, service platform, management platform, and sensor network platform, that continuously executes and updates manufacturing parameters across sub-production line devices from a main production line device, optimizing parameter settings and improving product quality through centralized data processing and independent data transmission channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manufacturing parameters are manually extracted and 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 system enables automatic self-updating of manufacturing parameters across production line devices. The main production line device automatically transmits optimized parameters to sub-production line devices through the dual-platform architecture, eliminating the need for manual parameter extraction and updating, thus resolving the contradiction between improving product quality and reducing time consumption.
Solution Approach 2:
The system performs preliminary optimization of manufacturing parameters on the main production line device before automatically propagating these optimized parameters to sub-production line devices. This preliminary action ensures that all devices use optimized parameters without requiring manual intervention, thereby improving product quality while minimizing the time required for parameter updates.
2Manufacturing precision
If manufacturing parameters are manually extracted and updated across multiple production line devices, then product quality can be improved, but the workload becomes huge and labor-intensive
Solution Approach 1:
The system enables automatic self-updating of manufacturing parameters across production line devices. The main production line device automatically transmits optimized parameters to sub-production line devices through the dual-platform architecture, eliminating the need for manual parameter extraction and updating, thus resolving the contradiction between improving product quality and reducing time consumption.
Solution Approach 2:
The system replaces manual mechanical operations with automated electronic data transmission. The dual-platform architecture enables automatic parameter optimization and transmission, substituting manual labor with computational algorithms and automated communication protocols, thereby reducing workload while improving product quality.
3Device complexity
If a single platform is used for data processing and transmission, then system structure is simple, but computational pressure on the platform increases significantly
Solution Approach 1:
The system divides the data processing and transmission functions into two independent platforms: a service platform for centralized data reception and processing, and a management platform for independent data transmission and device control. This segmentation distributes computational pressure across multiple platforms while maintaining manageable system complexity through clear functional separation.
Solution Approach 2:
The service platform acts as an intermediary between user input and the management platform, performing preliminary data processing and filtering before transmission. This intermediary role reduces the computational burden on the management platform by pre-processing data and only transmitting essential information, thereby distributing computational pressure while maintaining system structure simplicity.
Data Source
AI summary
The present disclosure discloses an Industrial Internet of Things (IIoT) with a dual independent platform, 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 with the dual independent platform. 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.


