Data Consolidation Analysis System for Manufacturing Efficiency
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Solution Overview
Problem
Current production data analysis reports are insufficient for machine debugging analysis, leading to low efficiency and inability to rapidly compare and trace production conditions due to lack of data consolidation and low data correlation.
Innovation Solution
A data consolidation analysis system comprising modules for acquiring machine and production event data, processing to calculate raw process time and production capacity index, and analyzing to establish matching relationships between these metrics, enabling rapid and in-depth analysis without downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual report production is used, then engineers can generate reports, but analysis efficiency is low
Solution Approach 1:
The system enables self-service automated report generation by automatically collecting machine event data and production event data, processing this data through the data processing module to calculate raw process times and production capacity indices, and generating analysis reports without requiring manual engineer intervention for data compilation and report creation
Solution Approach 2:
The patent replaces the mechanical manual process of report generation with an automated information processing system that collects data from machines, processes it through computational modules, and generates reports automatically, substituting human manual work with automated computational and data processing systems
2Ease of operation
If simple production data analysis reports are provided by machines, then reports can be generated, but the reports are too simple to meet machine debugging analysis requirements
Solution Approach 1:
The system merges machine event data with production event data in the data processing module, combining multiple data sources to create comprehensive analysis reports that include both machine operational details and production outcomes, thereby providing the detailed information needed for debugging while maintaining ease of report generation
Solution Approach 2:
The patent segments the analysis into multiple detailed components including raw process time for each product, production capacity index for each batch, and matching relationships between these metrics, allowing engineers to drill down into specific details for debugging while the system automatically generates the overall report structure
3Measurement precision
If data consolidation and matching relationships are established, then analysis accuracy is improved, but system complexity increases
Solution Approach 1:
The data processing module serves as an intermediary between raw data collection and analysis, automatically establishing matching relationships between machine events and production events, and calculating derived metrics like raw process time and production capacity index, thereby improving analysis accuracy while shielding users from the complexity of data correlation logic
Data Source
AI summary
The embodiments of the present application provide a data consolidation analysis method and a data consolidation analysis method. The data consolidation analysis system includes: a first acquiring module, which is configured to acquire machine event data; a second acquiring module, which is configured to acquire production event data; a data processing module, which is connected with the first acquiring module and the second acquiring module and configured to acquire a raw process time of each product and a production capacity index of each batch of products; and an analyzing module, which is connected with the data processing module and configured to acquire a first matching relationship between the production capacity index of each batch of products and the raw process time of each product.