Etching IoT Platform for Predictive Accessory Supply Allocation
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Solution Overview
Problem
In intelligent manufacturing, the supply and allocation of similar accessories for assembly line products are inefficient, leading to excessive accumulation in some processes and shortages in others, resulting in waste and inability to manage resources effectively.
Innovation Solution
An industrial Internet of Things (IoT) system integrating centralized platforms and rear sub-platforms is used to manage production and supply equipment, enabling unified scheduling and allocation of similar accessories based on real-time data processing and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If similar accessories are supplied separately to different processes and equipment, then each process can receive its required accessories, but accessory accumulation occurs in some processes while shortages occur in others, leading to resource waste and inability to carry out unified scheduling and management
Solution Approach 1:
The patent merges separate accessory supply systems into a unified IoT platform that centrally manages all accessories across multiple processes and equipment. The platform aggregates accessory data from different sources, enabling centralized scheduling and allocation that prevents both accumulation and shortages by dynamically redistributing accessories based on real-time需求的.
Solution Approach 2:
The IoT platform serves multiple functions: it monitors accessory consumption across different processes, predicts future needs using machine learning algorithms, dynamically allocates accessories from surplus to deficit areas, and provides unified management interfaces. This multi-functional system replaces multiple separate supply chains, enabling efficient resource sharing and reducing waste.
2Productivity
If a centralized platform is used to uniformly manage all accessories, then unified scheduling and resource allocation can be achieved, but the system complexity and data processing requirements increase significantly
Solution Approach 1:
The IoT platform is segmented into modular components: data collection modules that gather accessory information from various equipment, machine learning modules that predict consumption patterns, allocation modules that determine optimal distribution, and execution modules that implement supply decisions. This segmentation reduces overall system complexity by allowing each module to be developed, maintained, and scaled independently.
Solution Approach 2:
The patent introduces intelligent algorithms and machine learning models as intermediaries between raw accessory data and allocation decisions. These intermediaries process and analyze data, transforming complex multi-source information into actionable allocation strategies, thereby simplifying the decision-making process and reducing the computational burden on the central platform.
3Measurement precision
If real-time data collection and processing is implemented across all processes, then accurate accessory allocation can be achieved, but data transmission and processing time increase
Solution Approach 1:
The system performs preliminary actions by using machine learning models to predict future accessory consumption patterns based on historical data. These predictions enable proactive allocation decisions before actual shortages occur, reducing the need for urgent real-time processing and allowing the system to operate with optimized rather than purely reactive data processing.
Solution Approach 2:
The IoT platform implements periodic data collection and processing cycles rather than continuous real-time processing. By strategically sampling data at optimized intervals and using predictive algorithms to fill gaps between measurements, the system achieves accurate allocation decisions while significantly reducing data transmission and processing time requirements.
Data Source
AI summary
An industrial Internet of Things (IoT) of integrating centralized platforms and rear sub-platforms, comprising a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. Production line manufacturing equipment of the object platform includes a plurality of etching equipment, equipment data collectors collect consumption information of etching accessories of the plurality of etching equipment, and the consumption information of the etching accessories is transmitted to the management platform by the sensor network platform; the sub-platforms of the management platform predict a consumption of etching solution of the plurality of etching equipment in a future time period based on the consumption information of the etching accessories; and the sub-platforms of the management platform determine a delivery amount and a delivery time of the etching solution corresponding to each of the plurality of etching equipment based on the consumption of the etching solution.