Cable-Processing Machine Monitoring for Central Parameter Tracking
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Solution Overview
Problem
Cable-processing machines often operate suboptimally due to incorrect setup and maintenance, leading to varying output rates and quality, with fault messages being difficult to track across multiple machines, resulting in inefficient production and potential downtime.
Innovation Solution
A computer-implemented method and monitoring system that centralizes the transmission, storage, and analysis of production parameters, fault messages, and production data from multiple cable-processing machines to a control server with a central database, allowing for easy comparison and correlation of data to identify optimal settings and detect faults.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If production parameters are set up locally on each cable-processing machine, then operators can adjust settings during production, but it becomes difficult to track and compare parameters across multiple machines
Solution Approach 1:
The patent merges the local parameter storage on individual cable-processing machines with a central server database. The control server collects, stores, and manages production parameters from multiple machines centrally, while machines retain local access for operation. This combination resolves the contradiction by maintaining local adjustability while enabling centralized tracking and comparison of parameters across all machines.
Solution Approach 2:
The control server acts as an intermediary between the cable-processing machines and the operators. It receives parameter data from machines, stores it centrally in a database, and provides access for monitoring and analysis. This intermediary solution enables both local machine operation and centralized parameter tracking without requiring operators to physically access each machine for data collection.
2Ease of operation
If fault messages are acknowledged locally on individual machines, then immediate local response is possible, but it becomes difficult to determine which machines are frequently affected by downtimes
Solution Approach 1:
The patent combines local fault acknowledgment capability with centralized downtime tracking. The control server collects fault message data from all machines and stores it in a central database, enabling operators to identify patterns and frequently affected machines. Meanwhile, local machines retain the ability to acknowledge faults immediately, ensuring operational continuity while enabling centralized analysis of downtime patterns.
3Productivity
If production parameters are optimized locally through iterative processes, then machine-specific adjustments can be made, but output rates and production qualities vary across different machines
Solution Approach 1:
The patent implements a feedback mechanism where production parameters and results from all machines are collected and stored centrally. Operators can analyze the data to identify optimal parameter settings and apply them across multiple machines. This feedback loop enables standardization of production quality while maintaining the ability to make machine-specific adjustments when needed, resolving the variation in output rates and quality across different machines.
Data Source
AI summary
A computer-implemented method for the monitoring of a plurality of cable-processing machines for the processing of cables includes the following steps: transmission of production parameters from one cable-processing machine, or a plurality of cable-processing machines, to a control server with a central database, wherein the production parameters include settings for the cable-processing machine for the processing of the cables by the cable-processing machine in question; reception of the production parameters by the control server; and storage of the production parameters in the central database.