Automation Data Path Adaptation for Reliable Control-Cloud Transfer
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Solution Overview
Problem
Automation systems face challenges in ensuring timely, reliable, and complete data transmission between control devices and cloud systems due to varying data transmission rates, which can lead to incomplete or incorrect data transfer, affecting the reliability and safety of automation processes.
Innovation Solution
A method that determines data transmission characteristics, analyzes the feasibility of data transmission, and selects appropriate actions to adapt data or transmission paths to ensure timely, reliable, and complete data transfer by utilizing components on both the control device and cloud system sides, including determination, analysis, selection, and action components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transmission rate is increased to transmit large amounts of data quickly, then productivity is improved, but reliability deteriorates due to potential data loss or incorrect transmission
Solution Approach 1:
The system performs preliminary determination of data transmission characteristics (bandwidth, latency, packet loss rate) before actual data transmission. Based on these predetermined characteristics, the system pre-calculates appropriate transmission parameters such as packet size, transmission interval, and retry strategies, ensuring reliable transmission even at high speeds
Solution Approach 2:
The system continuously monitors transmission characteristics and data transmission outcomes, using this feedback to dynamically adjust transmission parameters. When packet loss or errors are detected, the system automatically modifies transmission strategies (e.g., reducing speed, increasing redundancy) to maintain reliability while optimizing productivity
2Ease of operation
If data transmission is performed without optimization to maintain simple system operation, then ease of operation is improved, but loss of information increases due to incomplete or incorrect data transfer
Solution Approach 1:
The control device automatically performs determination of transmission characteristics, analysis of data requirements, selection of optimization parameters, and execution of transmission without requiring manual intervention. The system self-adjusts based on monitored conditions, maintaining data completeness while keeping operation simple
Solution Approach 2:
The system pre-determines transmission characteristics and pre-selects optimization strategies before data transmission begins. This preliminary preparation ensures that all necessary parameters are optimized in advance, preventing information loss without requiring complex real-time adjustments during operation
3Reliability
If data transmission optimization is implemented to ensure complete and correct data transfer, then reliability is improved, but device complexity increases due to additional determination, analysis, and selection components
Solution Approach 1:
The determination component, analysis component, parameter selection component, and transmission execution are merged into an integrated system where functions are coordinated through a unified control logic. This consolidation reduces the complexity that would arise from completely separate components while maintaining all necessary optimization functions
Solution Approach 2:
The control device is designed with multi-functional capabilities that allow it to perform determination, analysis, selection, and transmission functions using the same hardware resources. The system can adapt its behavior based on different transmission scenarios, reducing the need for dedicated specialized components for each function
4Device complexity
If data transmission is performed without adaptation to varying transmission characteristics, then device complexity is reduced, but loss of time increases due to failed or repeated transmissions
Solution Approach 1:
The system dynamically adjusts transmission parameters based on real-time or predetermined transmission characteristics such as bandwidth variations, latency changes, and network conditions. This dynamic adaptation allows the system to optimize transmission speed for current conditions without requiring complex permanent infrastructure changes
Solution Approach 2:
The system changes transmission parameters (packet size, transmission interval, protocol selection) based on determined transmission characteristics. By adapting parameters to match actual transmission conditions, the system minimizes retransmissions and optimizes data transfer speed without increasing structural complexity
Data Source
AI summary
A method for optimizing data transmission in an automation system between a control device and at least one cloud system, as well as to a corresponding control device, a corresponding cloud system, and a control system. The method includes at least the following steps: determining a data transmission characteristic of at least one transmission path that is available for data transmission by means of a first and/or a second determination component; analyzing whether the data to be transmitted can be transmitted, based on the data transmission characteristic determined; selecting at least one action from a set of actions in order to adapt the data to be transmitted and/or the transmission path if the data to be transmitted cannot be transmitted, so as to allow the data transmission; and performing the at least one selected action.