Monitoring Device Alarm Data Collection Prioritization
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Solution Overview
Problem
Current monitoring systems face high processing and traffic loads when collecting data from multiple machine tools, limiting the types of data that can be collected in response to alarms, making it difficult to efficiently diagnose issues.
Innovation Solution
A monitoring device connected to multiple machine tools via a network, which includes a monitoring unit, acquisition unit, counting unit, selection unit, and collection unit, that identifies and prioritizes data collection based on alarm frequency and type, selecting relevant machine tools of the same type to reduce data overload and increase efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a massive amount of measured data is collected all the time to respond to every alarm, then data completeness for alarm diagnosis is improved, but processing load and network traffic increase significantly
Solution Approach 1:
The system pre-defines multiple sets of measurement target data items corresponding to different alarm types in advance. When an alarm occurs, the appropriate pre-defined set is selected and applied immediately, eliminating the need to determine data collection requirements in real-time and reducing processing load.
Solution Approach 2:
The system dynamically changes the parameters of data collection by selecting different sets of measurement target data items based on the alarm type. Instead of collecting all possible data continuously, the system adjusts the data collection scope to match the specific alarm situation, reducing unnecessary network traffic and processing load.
2Reliability
If all types of measured data are collected continuously from multiple machine tools, then diagnostic capability is improved, but network traffic load increases
Solution Approach 1:
The system applies different data collection strategies to different alarm situations. Instead of uniformly collecting all data from all machine tools continuously, it selectively collects specific types of measurement data from specific machine tools based on the alarm type and occurrence patterns, reducing overall network traffic while maintaining diagnostic capability.
Solution Approach 2:
The system collects only the necessary portion of data required for diagnosing specific alarm types rather than all possible data. By identifying the minimum required data sets for each alarm scenario, it achieves sufficient diagnostic capability with reduced network traffic.
3Productivity
If measurement target data items are limited to reduce processing load, then processing efficiency is improved, but ability to diagnose diverse alarm types deteriorates
Solution Approach 1:
The system creates multiple sets of measurement target data items that can be universally applied to different alarm types. Each set is designed to be sufficient for diagnosing specific alarm categories, and the system selects the appropriate set based on the alarm type, achieving both processing efficiency and comprehensive diagnostic coverage.
Solution Approach 2:
The system dynamically adjusts the measurement target data items based on the alarm type and occurrence patterns. Instead of using a fixed limited set or a fixed comprehensive set, it flexibly selects from multiple pre-defined sets to match the current alarm situation, maintaining both efficiency and versatility.
Data Source
AI summary
To provide a monitoring device, a machine tool, and a monitoring system capable of collecting data efficiently required for examining an alarm. A monitoring device is connected to multiple machine tools through a network. The monitoring device comprises: a monitoring unit that monitors the occurrence of an alarm in the machine tools; an acquisition unit that acquires a set of measurement target data items responsive to an alarm from a database on the occurrence of the alarm; and a collection unit that sets the set of measurement target data items in the multiple machine tools, and collects data measured by following the setting.