Dual Front-Subplatform IIoT for Production Capacity Coordination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing industrial internet of things systems struggle to coordinate the manufacturing capacity of multiple production line equipment effectively, leading to inefficiencies such as no-load time for upstream equipment and complex data processing challenges, which result in high costs and system complexity.
Innovation Solution
The implementation of an industrial internet of things with a dual front sub-platform architecture, featuring a centralized service platform and front sub-platform layouts for management and sensor networks, simplifies data transmission and processing by using modifiable product manufacturing capacity as primary data, reducing data processing demands and enabling coordinated control of production line equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If comprehensive data from all production equipment is transmitted and processed centrally, then coordinated control of manufacturing capacity is improved, but data processing complexity and system resource demands increase
Solution Approach 1:
The system divides the production line into multiple equipment groups, each managed by independent equipment group management units. Each unit processes data locally for its assigned equipment, breaking down the centralized processing burden into manageable segments while maintaining coordinated control across the entire production line.
Solution Approach 2:
Equipment group management units act as intermediaries between individual production equipment and the central management system. These intermediaries aggregate and pre-process data locally, reducing the complexity of data transmitted to central management while enabling coordinated control through structured data exchange.
2Productivity
If manufacturing capacity of downstream equipment is increased to match upstream equipment, then productivity is improved, but equipment cost and system complexity increase
Solution Approach 1:
The system dynamically adjusts the manufacturing capacity parameters of equipment based on real-time production demands and bottlenecks identified through data analysis. Rather than uniformly increasing all equipment capacities, the system optimizes capacity allocation dynamically, allowing upstream equipment to operate at higher capacities when downstream capacity is temporarily constrained, without requiring permanent equipment modifications.
3Productivity
If production line equipment operates at high capacity continuously, then productivity is improved, but equipment wear and maintenance requirements increase
Solution Approach 1:
The system implements periodic maintenance scheduling based on accumulated operational data and equipment usage patterns. Production equipment operates at high capacity during planned production periods, then undergoes scheduled maintenance and adjustments during designated maintenance windows. The central management system coordinates production scheduling to accommodate these periodic maintenance cycles, balancing productivity with equipment reliability.
Data Source
AI summary
The present disclosure discloses an industrial internet of things with a dual front sub platform and a control method, the industrial internet of things includes 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 a centralized layout, and the management platform and the sensor network platform adopt a front sub platform layout. The control method is used for the industrial internet of things.