Printing Press Settings Optimization Through Cross-Machine Data Sharing
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Solution Overview
Problem
Existing methods for remote maintenance and optimization of machines lack the ability to leverage settings from a broad range of similar machines, leading to suboptimal performance improvements.
Innovation Solution
A method where machines connected via a communication network, such as the Internet, share and compare operating data to calculate and apply improved settings, allowing each machine to benefit from the settings of many others, with centralized or decentralized approaches, including the use of cloud computing for data storage and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If machine settings are optimized using only local data from a single machine, then the optimization process is simple and fast, but the quality and generality of the optimization is limited
Solution Approach 1:
The patent combines data from multiple machines of the same type into a unified data set for optimization. The control device collects operating data and target data from several machines, merges them together, and performs optimization on the combined data set, thereby improving the quality and generality of the optimized settings while systematically managing the increased complexity through automated data fusion processes
Solution Approach 2:
The optimization system is designed to be universally applicable across multiple machines of the same type. By collecting data from various machines and performing centralized optimization, the system generates optimized settings that can be universally applied to any machine in the group, making the optimization process multi-functional and broadly applicable rather than machine-specific
2Productivity
If optimized settings are automatically applied to machines, then productivity improves, but operator control and acceptance of changes is reduced
Solution Approach 1:
The system performs optimization calculations in advance based on collected operating data and target data, generating optimized settings before they are applied to the machines. This preliminary optimization phase allows the control device to prepare improved settings that can then be automatically or manually applied, thereby improving productivity while giving operators the option to review and accept the pre-calculated optimizations
Solution Approach 2:
The system incorporates feedback mechanisms where optimized settings are transmitted to machines and their effects are monitored. The control device receives feedback on the application and performance of optimized settings, allowing it to adjust future optimizations and maintain operator confidence in the automated process while continuing to improve productivity through data-driven adjustments
Data Source
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AI summary
The invention relates to a method for improving the operation of machines (7) or devices with an associated machine computer (1), which are connected via a communication network (5) to at least one further computer (1, 3, 6, 9, 10). The invention is characterized in that operating data and/or order data of the machine computer (1) are transmitted to the further computer (1, 3, 6, 9, 10) via the communication network (5) and stored in the further computer (1, 3, 6, 9, 10), that the further computer (1, 3, 6, 9, 10) compares the performance of at least one machine (7) with the performance of further machines (7), and that the further computer (1, 3, 6, 9, 10) calculates improved settings for at least one of the machines (7) based on the performance comparison and makes them available for setting the machine (7).