Industrial Network Summation Frames for Real-Time I/O Streams
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Solution Overview
Problem
Industrial networks face challenges in efficiently transmitting real-time data due to excessive use of network bandwidth and overhead, particularly in handling multiple I/O devices with varying data requirements, which increases latency and makespan, and are limited by specific topologies and applications.
Innovation Solution
The method involves transmitting data frames containing multiple data subsets, where each subset is filtered or merged at nodes, allowing for flexible frame size adjustment and optimized resource use, using a combination of 'multiple listeners per talker' and 'multiple talkers per listener' models with summation frames, enabling efficient data communication independent of network topology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate streams are used for each I/O device to ensure real-time data transfer, then reliability of real-time communication is improved, but device complexity and network overhead increase
Solution Approach 1:
The patent merges multiple I/O device data into a single summation frame that is transmitted through one stream. Instead of creating separate streams for each I/O device, the system combines data from multiple sources into aggregated frames, reducing the number of streams and associated control information while maintaining real-time delivery guarantees through resource reservation.
Solution Approach 2:
The patent segments the summation frame into multiple data subsets, each destined for a different I/O device. This segmentation allows a single stream to carry data for multiple devices efficiently, with each device extracting only its relevant data subset, thereby reducing network overhead while ensuring reliable delivery to each destination.
2Ease of operation
If data is transmitted in fixed-size frames to simplify network processing, then ease of operation is improved, but loss of time increases due to excessive bandwidth usage
Solution Approach 1:
The patent implements dynamic frame sizing where the summation frame adapts its size based on the actual amount of data from I/O devices. Rather than using fixed-size frames that waste bandwidth, the frame size varies to match the data volume, reducing unnecessary transmissions and latency while maintaining processing efficiency through structured data subsets.
3Reliability
If multiple streams are created to handle data from multiple transmitters to a single receiver, then reliability of data collection is improved, but productivity decreases due to increased network overhead
Solution Approach 1:
The patent merges data from multiple transmitters into a single summation frame that is delivered to the receiver through one stream. This consolidation maintains complete data collection from all transmitters while eliminating the overhead of multiple separate streams, thereby improving network efficiency and productivity without sacrificing reliability.
Data Source
AI summary
A control method, device, computer program, computer-readable medium and method for data communication in an industrial network that includes at least one node point, via a stream, in which resources are reserved on the at least one node point for data transmission between subscribers via the node point, using a reservation protocol, and data is transmitted via the stream, and a data frame is sent from the transmitter to transmit data from a transmitter to receivers, the data frame being formed from a plurality of data subrecords determined for different receivers, and on at least one output port of at least one node point, at least one data subrecord is filtered out of the data frame, and/or data is transmitted from a plurality of transmitters to a receiver via data frames that have a plurality of data subrecords originating from different emitters, on at least one node point.