Field Bus Scheduling Using Impact Parameters for Faster Control
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Solution Overview
Problem
Existing field bus systems in industrial automation face significant delays in application response times due to the time required for sensors to capture and process data, compute output data, and apply it to target equipment, as well as signal propagation times within the bus system.
Innovation Solution
A scheduling unit is introduced to determine and consider impact parameters such as device preparation times, data computation times, and signal propagation times, allowing for optimized scheduling of application execution to minimize application response time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If optimized hardware with low cycle time is used, then application response time is improved, but hardware cost and processing load increase
Solution Approach 1:
The scheduling unit performs preliminary analysis of impact parameters (device preparation times, computation times, propagation times) before application execution to determine an optimized schedule. This advance planning allows the system to minimize application response time without requiring high-performance hardware, as the optimization is achieved through intelligent scheduling rather than raw processing power.
2Loss of time
If high-performance bus system with high bandwidth is used, then application response time is improved, but processing load increases
Solution Approach 1:
The scheduling unit changes the temporal parameters of data transmission and processing by determining an optimized schedule based on impact parameters. Instead of relying on high bandwidth to reduce transmission time, the system adjusts the timing and sequencing of operations to minimize overall application response time, thereby reducing the need for high-performance bus systems and associated processing loads.
3Loss of time
If scheduling optimization is implemented, then application response time is improved, but system complexity increases
Solution Approach 1:
The scheduling unit acts as an intermediary component that analyzes impact parameters from various sources (device preparation times, computation times, propagation times) and generates an optimized schedule. This intermediary layer provides scheduling optimization without requiring fundamental changes to the existing field bus system architecture, thereby limiting the increase in overall system complexity.
Data Source
AI summary
The invention relates to a field bus system for execution of at least one application, in particular for industrial automation, the field bus system comprising: a first device, in particular a first sensing device, configured to provide and transmit first device data, at least a second device, in particular a second sensing device, configured to provide and transmit second device data, a controller for computation of output data from the device data, at least a first target equipment controllable by the output data, a field bus, in particular a Sercos bus, and a scheduling unit for scheduling the execution of the application, wherein the devices, the controller and the first target equipment are connected via the field bus for communication with the scheduling unit, and wherein the scheduling unit is configured to determine impact parameters which impact an application response time of the bus system, and to schedule the execution considering the impact parameters.