Industrial IoT Data Retrieval via Process-Based Edge Sub-Platforms
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Solution Overview
Problem
In intelligent manufacturing, the high computing pressure and cost associated with managing and processing large amounts of data from assembly line processes and devices hinder the achievement of global intelligent control over the entire assembly line.
Innovation Solution
The implementation of an industrial Internet of Things (IoT) with a sensor network platform in a front sub-platform type, which divides production line devices and data collectors into target objects based on process sequences, allowing for data classification, processing, and coordination. This system uses different IoT architectures to optimize information processing, transmission, and storage, reducing the demand for information processing and standardizing data classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a centralized data control interaction center manages all production line data, then global intelligent control can be achieved, but computing pressure and operational costs increase significantly
Solution Approach 1:
The patent divides the centralized data control interaction center into multiple distributed edge computing nodes deployed at different production line locations. Each edge node processes and analyzes data locally for its specific production segment, performing data filtering, aggregation, and preliminary analysis. This segmentation reduces the burden on any single computing center while maintaining comprehensive control capabilities across the entire production line through coordinated edge nodes.
2Loss of information
If all production line device data is collected and processed centrally, then comprehensive data analysis is possible, but data processing and transmission requirements become too high
Solution Approach 1:
The patent extracts and processes critical data elements at the edge computing nodes before transmission to the central platform. Edge nodes perform data preprocessing including filtering out redundant information, aggregating related data points, and extracting key features. Only essential and processed data are transmitted to the central data control interaction center, reducing transmission bandwidth requirements and simplifying the overall data processing architecture while preserving necessary information for comprehensive analysis.
3Productivity
If multiple devices and processes are monitored in real-time, then production efficiency can be improved, but the number of devices and data volume increase
Solution Approach 1:
The patent combines multiple data collection and processing functions into integrated edge computing nodes positioned at strategic locations along the production line. These edge nodes aggregate data from multiple production devices and processes, performing unified processing and analysis. By merging functions and consolidating data streams at the edge, the system reduces the overall number of separate computing components needed while maintaining real-time monitoring capabilities across all production elements.
Data Source
AI summary
Method for retrieving target data based on Industrial Internet of Things (IoT), comprises: dividing production line devices and device data collectors of an object platform into a plurality of target objects in different process sequences according to processes of manufacturing an assembly line product, and collecting real-time data of a production line device of a corresponding process; each sub platform of a sensor network platform corresponding to target object data of each of different process sequences, the target object data including threshold data of a production line device stored in each sub platform database and real-time data collected by the device data collector; and in response to a determination that the real-time data of the production line device is greater than the threshold data, retrieving the target object data in a corresponding sub platform database, packaging the target data into packaged data and transmitting the packaged data to a general platform of the sensor network platform.