Industrial Device Address Identification for Parameter Mapping
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Solution Overview
Problem
In industrial data analysis, especially in digital factory settings, it is challenging to quickly identify device parameters from large datasets due to the lack of open technical protocols and aging devices, making it difficult to associate raw data with device status, particularly after modifications to factory settings.
Innovation Solution
A method that automatically associates storage addresses with device parameters by presetting expected attribute values and screening actual status values, eliminating the need for human observation and iteration to ensure accurate matching, suitable for cloud platforms like MindSphere.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If experienced engineers manually observe and identify the association between device parameters and storage addresses, then the identification can be completed, but the process is time-consuming and labor-consuming
Solution Approach 1:
The patent replaces the mechanical manual observation method with an automated computer-based identification system. The system automatically acquires data from device controllers, extracts parameter names and storage addresses, and establishes associations without human intervention, thereby eliminating time consumption while maintaining identification accuracy.
Solution Approach 2:
The identification system performs self-service by automatically acquiring controller data, extracting parameter information, and generating parameter-address associations independently. The system uses its own resources to complete the identification task without requiring external engineer input, thus resolving the time-consuming nature of manual identification.
2Ease of operation
If engineers rely on experience to identify device parameters, then identification can be completed, but the process is limited by engineer experience and cannot be generalized
Solution Approach 1:
The patent creates a universal identification method that can be applied to multiple device types and controllers regardless of manufacturer or model. The system extracts parameter information automatically from controller data structures, making it adaptable to different industrial devices without requiring experience-specific knowledge, thus enhancing both ease of operation and versatility.
Solution Approach 2:
The system copies and analyzes the controller's internal data structures and parameter definitions to automatically identify parameter-address associations. By replicating the controller's parameter organization in the identification system, it achieves experience-independent identification that can be generalized across different devices.
3Adaptability or versatility
If factory settings are modified in the user factory, then the device adapts to user needs, but the original factory settings are destroyed and parameter-address association becomes difficult to obtain
Solution Approach 1:
The patent performs preliminary acquisition of controller parameter data before factory modifications are made. By capturing the parameter-address associations in advance when the controller still contains valid factory settings, the system preserves this critical information even after subsequent modifications destroy the original settings. This preliminary data collection ensures the parameter-address mapping is retained for future data analysis.
Data Source
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AI summary
The present invention relates to an address identification method, apparatus and system for a device parameter of an industrial device, and a storage medium, a processor and a terminal. The method comprises: a) defining a screening library, wherein the screening library comprises at least one expected attribute value, and the expected attribute value describes an expected state value of a device parameter to be addressed in at least one pre-set operating mode of an industrial device; b) acquiring a data group, wherein the data group comprises an actual state value generated by the industrial device in the pre-set operating mode and an address where the actual state value is stored in a controller which controls the industrial device; c) for each address, extracting an actual attribute value, stored in the address, of the actual state value; d) comparing the actual attribute value with the expected attribute value, determining the actual state value corresponding to the actual attribute value which complies with the expected attribute value, and determining, from the data group, an address corresponding to the selected actual state value; e) and taking the selected address as a final address and outputting same.