Service Cloud Information Push for Coordinated IIoT Production Lines
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Solution Overview
Problem
Current IoT-based smart manufacturing systems operate independently, leading to inadequate information exchange and underutilization of data across multiple production lines, hindering effective data utilization and operational efficiency.
Innovation Solution
A service cloud platform is introduced to facilitate information intercommunication and data utilization among Industrial Internet of Things (IIoT) systems by determining a demand level of service information, including obtaining sensor information, identifying candidate and target push objects, and generating adjustment instructions for production and monitoring parameters based on correlation and information density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple IIoT systems operate independently, then each system maintains operational autonomy, but information exchange between production lines is insufficient and data utilization is low
Solution Approach 1:
The patent introduces a service cloud platform as an intermediary component that mediates information exchange between multiple independent IIoT systems. The platform collects sensor information from different production lines, processes it through correlation analysis and information density calculation, and distributes relevant information to appropriate systems, thereby enabling information sharing without requiring direct complex interconnections between systems.
Solution Approach 2:
The service cloud platform performs multiple functions including information collection, correlation analysis, information density determination, push object identification, and recommendation generation. This multi-functional approach consolidates what would otherwise require separate systems, enabling efficient information exchange while avoiding the complexity of point-to-point connections between all production lines.
2Loss of information
If service information is pushed to all production lines, then information availability increases, but information overload and irrelevant data increase
Solution Approach 1:
The patent calculates information density specifically for each production line based on its unique characteristics and requirements. By determining the local information needs of each system and pushing only relevant information with appropriate density, the platform ensures information availability while avoiding the waste of processing and displaying irrelevant data across all systems.
Solution Approach 2:
The system performs partial information pushing by selecting only the most relevant information for each production line based on correlation values and information density calculations. Rather than pushing all available information to all systems (excessive action), it selectively pushes pertinent data, improving processing efficiency while maintaining necessary information availability.
3Loss of information
If detailed sensor information is collected from all production lines, then data completeness increases, but data processing complexity and storage requirements increase
Solution Approach 1:
The service cloud platform extracts only the essential sensor information needed for cross-production line analysis and decision-making. By identifying and extracting key parameters from comprehensive sensor data, the system maintains data completeness for critical decisions while reducing the overall volume of data that requires processing and storage across the distributed IIoT systems.
Data Source
AI summary
Provided are a method, a system, and a storage medium for determining a demand level of service information. The method includes: obtaining first sensor information of a first production line; determining, based on the first sensor information, a candidate push object and a push demand value of the candidate push object; determining a target push object based on the push demand value; determining reference information of the target push object based on the first sensor information, and sending the reference information to an IIoT user platform corresponding to the target push object; in response to receiving a recommended demand, generating a recommended production parameter and/or a recommended monitoring parameter based on the reference information, and sending the parameter(s) to the IIoT user platform corresponding to the target push object to obtain confirmation information; and generating, based on the confirmation information, an adjustment instruction.