IIoT Service Cloud Information Push Across Production Lines
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Solution Overview
Problem
Existing IIoT systems for multiple production lines operate independently, leading to inadequate information exchange and underutilization of data, hindering effective data utilization and operational efficiency.
Innovation Solution
A service cloud platform facilitates information push by determining candidate and target push objects, generating recommended production and monitoring parameters, and adjusting parameters based on sensor information across multiple production lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple IIoT systems operate independently for different production lines, then each system can be managed and operated separately, but information exchange between production lines is blocked and data utilization is low
Solution Approach 1:
The patent introduces a service cloud platform as an intermediary between multiple independent IIoT systems. This platform receives sensor information from various production lines, processes it through algorithms to generate push demands and reference information, and distributes relevant information to appropriate production lines. The service cloud platform acts as a mediator that enables information exchange without requiring direct integration between all systems, thus resolving the contradiction between information exchange and system complexity.
2Productivity
If a centralized service cloud platform is introduced to enable information exchange, then data utilization improves, but system complexity increases
Solution Approach 1:
The patent segments the overall IIoT system into independent production line systems and a centralized service cloud platform. Each production line maintains its own IIoT system with sensors and basic processing, while the service cloud platform handles cross-line information processing. This segmentation allows data utilization to improve through centralized processing without requiring complete reintegration of all systems, thus managing complexity while enhancing productivity.
Solution Approach 2:
The service cloud platform is designed with multi-functional capabilities: it collects sensor information from multiple production lines, analyzes data to determine push demands, generates reference information, and distributes information to appropriate systems. This universal platform handles diverse information processing tasks across different production lines, improving data utilization while avoiding the need for separate integration solutions for each pair of systems.
3Productivity
If comprehensive sensor information is collected and processed across all production lines, then data utilization and operational efficiency improve, but information processing complexity and time increase
Solution Approach 1:
The service cloud platform performs preliminary processing of sensor information by pre-calculating push demands and generating reference information before it is needed for decision-making. The system continuously monitors sensor data, pre-processes it to identify potential information push opportunities, and prepares reference information in advance. This preliminary action reduces the time required for information processing when operational decisions need to be made, thus improving operational efficiency without sacrificing processing speed.
Data Source
AI summary
Provided are a method, a system, and a storage medium for information push in IIoT based on a service cloud platform. 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 at least one of a recommended production parameter and 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.