CIM/E Model Conformance Testing Automation
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Solution Overview
Problem
Current Common Information Model (CIM) standard conformance testing lacks automated methods for CIM/E models, leading to high human intervention, subjective detection results, and inefficiencies in quantifying tested function points.
Innovation Solution
A standard conformance testing system and method that automatically generates and checks CIM/E standard and defect models, performs import and export testing, and reduces manual intervention by using a human-computer interaction module, testing rule set, model generation, and model checking modules aligned with GB/T 30149 and DL/T 1380 standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual detection methods are used for CIM/E model standard conformance testing, then flexibility in handling complex testing scenarios is maintained, but human intervention increases and subjectivity affects detection results
Solution Approach 1:
The patent introduces an intermediary translation layer that converts natural language standard descriptions into machine-executable detection rules. This intermediary component (the translation module) bridges the gap between human-readable standards and automated detection systems, enabling automation while preserving the flexibility of natural language standard interpretation.
Solution Approach 2:
The patent replaces manual mechanical detection processes with an automated information processing system. The detection system uses computer-based modules to automatically translate standards, generate detection rules, execute tests, and analyze results, substituting human operators with automated computational processes that eliminate subjectivity while maintaining operational flexibility through programmable rule generation.
2Ease of operation
If manual detection methods are used for CIM/E model testing, then complex testing scenarios can be handled flexibly, but detection efficiency decreases and productivity is reduced
Solution Approach 1:
The patent performs preliminary action by pre-translating standard descriptions into structured detection rules before actual testing begins. The translation module converts natural language standards into machine-executable formats in advance, and the rule generation module prepares detection rules beforehand, enabling efficient automated execution without manual intervention during the actual testing process.
Solution Approach 2:
The patent replaces manual detection mechanics with automated information processing. The system uses computer-based translation, rule generation, and detection execution modules that automatically process testing scenarios, eliminating the time-consuming manual operations while maintaining the ability to handle complex scenarios through programmable rule-based detection.
3Ease of operation
If natural language description of standards is used, then human understanding is facilitated, but quantification of tested function points becomes difficult
Solution Approach 1:
The patent segments the natural language standard descriptions into distinct structural components (elements, attributes, relationships, constraints) that can be individually translated and quantified. The translation module divides standards into measurable functional points, enabling precise quantification while preserving the human-readable structure through hierarchical organization of detection rules.
Solution Approach 2:
The patent transforms the parameter representation from natural language descriptions to structured quantitative parameters. The translation module converts qualitative standard descriptions into quantitative detection parameters with defined measurement criteria, enabling precise measurement while maintaining the connection to original standard terminology through the structured rule representation.
4Productivity
If automated detection is implemented for CIM/E models, then detection efficiency and productivity improve, but device complexity increases
Solution Approach 1:
The patent segments the automated detection system into distinct functional modules: translation module, rule generation module, detection execution module, and result analysis module. This segmentation allows each module to perform a specific function independently, reducing overall system complexity while enabling automated detection through coordinated module operations.
Solution Approach 2:
The patent creates a universal detection framework that can handle multiple CIM/E model testing scenarios through a single integrated system. The rule generation module generates detection rules for various testing scenarios, and the execution module adapts to different test cases, providing multi-functional capability that reduces the need for separate specialized systems.
Data Source
AI summary
A standard conformance testing system and method for a CIM/E model of a power system and a storage medium include: converting the standards “Power Grid Common Model Description Specification (GB/T 30149)” and “Power Grid Operating Model Data Exchange Specification (DL/T 1380)” into practically operable testing rules, and performing automatic generation and verification of a CIM/E standard model and defect model. The testing system and method can improve the comprehensiveness and standardization of a CIM/E model standard compliance test, improving testing efficiency, promoting the level of standardization according to the CIM/E model in a power system software development process, and real time data exchange and interoperation between respective application systems, effectively supporting the safe and stable operation of a power grid.