Textile Machine Bus Control Reducing Wiring Complexity
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Solution Overview
Problem
Existing textile machine control and transmission systems require extensive wiring, are complex, and struggle with efficient data monitoring, especially in environments with high electromagnetic interference, while aiming to minimize data traffic and ensure rapid central control responses to sensor events.
Innovation Solution
A control and transmission system with a central master control unit and slave units connected via a bus, utilizing list control instead of real-time sensor querying, where sensors store operation information and receive clock signals to record and synchronize data, allowing for intelligent monitoring with minimal wiring and data traffic, and employing a simple bus structure with low bit rates for robust and reliable data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time sensor querying is implemented, then rapid central control response to sensor events is achieved, but data traffic on the bus increases and wiring complexity increases
Solution Approach 1:
The patent applies preliminary action by having slave units store target values and monitor sensor signals locally before any central control query is needed. The slave units continuously compare actual sensor values with stored target values and immediately generate alarm signals when deviations occur, eliminating the need for continuous central control querying and reducing data traffic to only essential alarm transmissions.
2Reliability
If individual lines are connected to each subscriber, then reliable sensor monitoring is achieved, but wiring effort and system complexity increase
Solution Approach 1:
The patent merges multiple individual sensor monitoring functions into a single bus-based architecture. Multiple slave units, each equipped with local target value storage and comparison capabilities, are connected via a common bus instead of requiring separate individual lines to the central control. This combining approach maintains reliable monitoring through distributed intelligence while dramatically reducing wiring complexity.
3Loss of information
If high data rate transmission is used, then comprehensive operation monitoring is achieved, but susceptibility to electromagnetic interference increases and system robustness decreases
Solution Approach 1:
The patent extracts the intensive data processing and comparison functions from the central control and places them locally in slave units. Only essential alarm signals and synchronization data need to be transmitted over the bus, rather than continuous high-rate sensor data. This extraction reduces the data transmission rate and consequently reduces susceptibility to electromagnetic interference while maintaining complete monitoring capability through distributed processing.
4Adaptability or versatility
If many sensors are connected to the bus, then comprehensive machine monitoring is achieved, but data traffic increases and response time may be delayed
Solution Approach 1:
The patent segments the monitoring function by distributing intelligence to individual slave units, each responsible for monitoring specific sensors and comparing their signals against locally stored target values. This segmentation allows many sensors to be monitored comprehensively across the entire machine while each slave unit independently processes its own data, preventing bus data traffic from increasing proportionally with the number of sensors.
Data Source
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AI summary
In the control and transmission system according to the invention, the slave units (20-1 to 20-n) involved receive a partial schedule which is valid for them, which they execute using a synchronization signal, before the start of the production mode of the textile machine (1). This allows sensors in a textile machine to be switched on and off in groups. Furthermore, the slave units can be sent time-variant target or setpoint values via the individual lists.