Industrial Machine Data Parsing via Collection Setting Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data collection systems for industrial machines struggle to execute parse processing corresponding to collection settings for collected data.
Innovation Solution
The system executes parse processing corresponding to the collection settings by identifying the appropriate parser based on the machine ID and topic ID associated with the collection data, and then applies this parser to the collected data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data collection is performed based on predetermined collection settings, then data can be collected from industrial machines, but parse processing corresponding to the collection settings cannot be executed
Solution Approach 1:
The system performs preliminary actions by storing multiple parsers in advance and selecting the appropriate parser based on the collection settings before parse processing is needed. This ensures that the correct parser is ready and available when data collection occurs, enabling accurate parse processing without delay.
Solution Approach 2:
The system introduces an intermediary mechanism (parser selection based on collection settings) that bridges data collection and parse processing. By using the collection settings as a key to select the appropriate parser, the system ensures that parse processing accurately corresponds to the collected data structure.
2Measurement precision
If multiple parsers are stored for different collection settings, then parse processing can be executed accurately, but device complexity increases
Solution Approach 1:
The system applies universality by creating a unified data collection architecture that can handle multiple collection settings through a single parser selection mechanism. Instead of creating separate processing paths for each setting, one universal system selects and applies the appropriate parser based on the collection settings, reducing overall system complexity.
Solution Approach 2:
The system changes the parameter of parser selection based on collection settings parameters. By dynamically selecting parsers according to the specific collection settings being used, the system maintains high parse processing accuracy for different data formats without hardcoding separate processing logic for each scenario.
3Speed
If parse processing is executed without corresponding collection settings, then data processing speed may be maintained, but data processing precision deteriorates
Solution Approach 1:
The system performs preliminary parser selection based on collection settings before actual parse processing begins. This pre-selection ensures that the correct parser is immediately available when data arrives, maintaining processing speed while ensuring precision through accurate parser-data matching.
Solution Approach 2:
The system uses collection settings as feedback to select the appropriate parser. The collection settings provide information about the expected data format, and this feedback mechanism ensures that the selected parser is optimized for the specific data being processed, maintaining both speed and precision.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Provided is a data collection system (1) for an industrial machine (30), the data collection system (1) including: a collection module (104, 202) configured to collect collection data relating to the industrial machine based on a predetermined collection setting; a collection setting identification module (106) configured to identify the collection setting based on identification information associated with the collection data; and an execution module (107) configured to execute parse processing relating to the collection data based on the identified collection setting.