Textile Machine Power Prediction for Parameter Change Warnings
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Solution Overview
Problem
Existing textile machines lack the ability to predict how power consumption will change when parameters of the characteristic curve are adjusted, potentially leading to excessive power consumption and emergency shutdowns due to overheating.
Innovation Solution
A control and evaluation device that calculates power consumption based on characteristic curve fields, allowing operators to predict the impact of parameter changes and prevent excessive power consumption by warning of potential emergencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If parameters of the characteristic curve are adjusted to increase production or change operating conditions, then productivity or adaptability is improved, but power consumption may exceed permissible limits causing emergency shutdowns
Solution Approach 1:
The control and evaluation device calculates and evaluates power consumption before the actual operating parameter changes are implemented. By using characteristic curves that represent power consumption at different operating points, the system performs preliminary assessment to prevent future power consumption issues before they cause emergency shutdowns.
Solution Approach 2:
The system provides feedback to operators about the expected power consumption consequences of parameter changes. The control and evaluation device communicates whether proposed parameter adjustments would lead to excessive power consumption, enabling operators to make informed decisions about operating parameter changes.
2Reliability
If real-time monitoring of power consumption is implemented, then reliability is improved by preventing emergency shutdowns, but device complexity increases
Solution Approach 1:
Instead of complex real-time monitoring and control systems, the invention uses pre-calculated characteristic curves that represent power consumption at different operating points. The control and evaluation device simply compares proposed operating parameters against these pre-stored curves to assess power consumption risks, avoiding the need for complex real-time analysis systems.
Solution Approach 2:
The system uses characteristic curves as simplified representations (copies) of the complex relationship between operating parameters and power consumption. These curves capture the essential power consumption behavior without requiring complex mathematical models or real-time computational resources.
Data Source
Figure 1~1A
Figure 2
Figure 3
AI summary
The invention relates to a textile machine (1) with a control unit (11) and working elements (31, 33, 34, 38, 44) and a power supply unit (43) which is connected to a spinning mill power grid (25) and includes electrical power supplies (24, 32, 35) for supplying the working elements (31, 33, 34, 38, 44, 33).To enable the operating personnel of the textile machine (1) to detect an impending power overload of a working element (31, 33, 34, 38, 44) or a power supply unit (24, 32, 35) of the textile machine (1) at an early stage, i.e., in advance, the invention provides that the control unit (11) of the textile machine (1) has a control and evaluation unit (41) in which the respective power consumption of a power supply unit (24, 32, 35) or a working element (31, 33, 34, 38, 44) is stored based on characteristic curve fields created from various predefinable parameters, wherein the control and evaluation unit (41) is designed to predict the power consumption of the electrical power supply unit (24, 32, 35) or the working element (31, 33, 34, 38, 44) when a or several parameters of a characteristic curve field of a working element (31, 33, 34, 38, 44) are adjusted.