Non-Intrusive Product Monitoring via Dimension Table Meta Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for connecting business products to monitoring systems require intrusive technical transformations, leading to inefficiencies and increased time and labor, as products need to adapt to the monitoring system by revealing necessary monitoring information.
Innovation Solution
A method that determines meta information for each functional part's hardware basis, constructs a dimension table model, obtains meta information content, configures monitoring tasks, and monitors the product without requiring technical transformations or intrusion, using a standardized process-based approach.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the to-be-connected product undergoes technical transformation to reveal monitoring information, then the monitoring system can directly collect indicator data, but the product connection process becomes intrusive and time-consuming
Solution Approach 1:
The patent introduces a standardized interface layer as an intermediary between the product and monitoring system. This interface includes standardized data output modules that automatically expose monitoring information without requiring intrusive transformations of the product itself. The interface acts as a mediator that translates product internal states into monitorable indicators through predefined protocols.
Solution Approach 2:
The patent extracts the monitoring information revelation function from the product's core functionality and places it in a separate, standardized interface layer. This allows the monitoring capabilities to be accessed without modifying the product's internal structure or operation, effectively separating the monitoring concern from the product implementation.
2Reliability
If the product undergoes technical transformation to connect to the monitoring system, then monitoring can be established, but the connection efficiency decreases due to increased time and labor
Solution Approach 1:
The patent establishes standardized interface configurations and data output modules in advance during product design. These pre-configured interfaces automatically generate monitorable indicators according to predefined protocols, eliminating the need for time-consuming transformations during deployment. The preliminary setup ensures reliable monitoring connection while maintaining high connection efficiency.
Solution Approach 2:
The patent creates a universal standardized interface that can be applied across different product types. This interface supports multiple monitoring scenarios and can adapt to various product configurations without requiring custom transformations for each product, thereby improving both reliability and connection efficiency through reuse.
3Ease of operation
If the monitoring system directly collects indicator data from the product, then data collection is straightforward, but the product must be modified which disrupts its operation
Solution Approach 1:
The patent segments the data collection process into two independent parts: the product's normal operation and the monitoring data output. The standardized interface creates a separate data output channel that does not interfere with the product's core functionality. This segmentation allows the monitoring system to collect data easily while the product continues to operate without disruption.
Solution Approach 2:
The patent implements self-service monitoring capabilities within the product through standardized data output modules. These modules automatically generate and expose monitoring indicators according to predefined protocols without requiring external intervention or product modification. The product serves its own monitoring needs through the standardized interface, eliminating operation disruption.
Data Source
AI summary
Connecting a product to a monitoring system is described. In a computer-implemented method, meta information of each entity that serves as a hardware basis of each functional part is determined based on each functional part comprised in a to-be-connected product. Based on the meta information of each entity, a model of each entity is constructed that is expressed in a form of a dimension table and that corresponds to each entity. Corresponding meta information content is obtained from the to-be-connected product based on meta information in the model of each entity. A monitoring task is configured based on the model of each entity and a functional part to which each entity belongs. The to-be-connected product is monitored based on the monitoring task and meta information content in the model of each entity.