Central Device for Textile Machine Operation Data Management
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Solution Overview
Problem
Conventional systems face difficulties in effectively monitoring and obtaining operation information from multiple textile machines located in different plants, making it challenging to generate comprehensive reports that include operation and abnormality data.
Innovation Solution
A central device connected to terminal devices via a communication network, which receives and stores operation information, determines abnormalities, and generates reports including evaluation values, average evaluation values, and part information, enabling efficient data management and reporting across multiple plants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a computer is connected to monitor a textile machine, then the machine's operating state can be monitored, but it becomes difficult to properly obtain information on a large number of textile machines provided in different places (plants)
Solution Approach 1:
The system segments the monitoring function by introducing terminal devices at each plant level, which locally collect and pre-process information from multiple textile machines. This segmentation allows the central device to receive consolidated data rather than managing individual machine connections, thereby maintaining comprehensive monitoring capability while reducing system complexity.
Solution Approach 2:
Terminal devices serve as intermediaries between textile machines and the central device. These terminal devices collect operation information from multiple machines at the plant level and transmit consolidated data to the central device, enabling efficient information acquisition across distributed locations without requiring the central device to directly manage each individual machine connection.
2Productivity
If operation information from multiple plants is collected and stored, then comprehensive reporting capability is improved, but data management complexity increases
Solution Approach 1:
The data management structure is segmented into hierarchical levels: terminal devices manage data at the plant level, organizing information by plant identification, machine identification, and unit identification. The central device then manages consolidated data from multiple plants. This segmentation enables comprehensive reporting across all plants while keeping data management complexity localized and organized.
Solution Approach 2:
The central device performs multiple functions including receiving data from multiple terminal devices, storing consolidated information, determining abnormalities through threshold comparison, calculating evaluation values, and generating comprehensive reports. This multi-functionality consolidates data management operations, improving reporting efficiency while maintaining organized data handling through standardized processing procedures.
3Measurement precision
If abnormality determination is performed by comparing operation information with thresholds, then abnormality detection accuracy is improved, but processing time increases
Solution Approach 1:
Abnormality determination is performed as a preliminary action during the data processing workflow, immediately after data reception and before comprehensive report generation. By integrating abnormality determination into the regular data processing routine rather than as a separate post-processing step, the system achieves accurate abnormality detection without significant additional processing time delay.
Data Source
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AI summary
An object of the present invention is to provide a central device or the like that can store a plurality of pieces of operation information of textile machines provided in a plurality of plants, and also can generate report information including the plurality of pieces of operation information of textile machines and abnormality information of each plant. A server computer (1) (central device) of the present invention receives from a client computer 2 plant identification information, machine identification information, unit identification information and a plurality of pieces of operation information on operating states of a textile machine 3 and units 4. The server computer 1 stores the received a plurality of pieces of operation information in a storing section in association with the plant identification information, the machine identification information, and the unit identification information. When the operation information stored in the storing section exceeds a threshold, the server computer 1 determines that the information is abnormal. The server computer 1 also generates report information per plant identification information, including the operation information of each textile machine 3 and each unit 4 of the textile machine 3, and abnormality information to identify the determined abnormal operation information.