Semantic description and consistency checking method for intelligent simulation model

Abstract

One embodiment of the invention discloses a semantic description and consistency check method for an intelligent simulation model, which comprises the following steps: S10: checking an input intelligent model PMML description document, if the intelligent model PMML description document conforms to a PMML description specification, performing S30, and if the intelligent model PMML description document does not conform to the PMML description specification, re-inputting the intelligent model PMML description document; s30, describing the constraint of the intelligent model by using description logic to form an intelligent model constraint description document; s50, performing semantic annotation on the intelligent simulation model framework to form an intelligent simulation model interface constraint document; and S70, performing semantic consistency check on the intelligent simulation model according to the intelligent model constraint description document and the intelligent simulation model interface constraint document.

Description

technical field [0001] The invention relates to the field of intelligent simulation models. More specifically, it relates to a method for semantic description and consistency checking of an intelligent simulation model. Background technique [0002] The current simulation system is becoming more and more complex, and the connection and interaction relationship between simulation models is gradually increasing. It is becoming more and more difficult to check whether the connection between simulation models is correct. The check between conventional simulation models is implemented based on the type system, and the correctness of the connection is judged by whether the data types between the interfaces match. Currently, in addition to the matching check of the data type, it is more important to check whether the data semantics of the model interface match. For example, the confusion of the meaning of the unit, one unit is meters, and the other unit is kilometers. There are ...

AI Technical Summary

Problems solved by technology

[0004] In a service-based simulation test environment, various intelligent algorithms, software, and platforms are integrated into the simulation model through remote procedure calls, publish / subscribe, etc. after registration, packaging, and release, and integrated intelligent software, platforms, and Conflicts such as interface mismatch between the algorithm and the simulation model call framework, and connection disallowance

At present, there have been some researches on semantic consistency checking of complex simulation system models based on description logic, but there is still no work on semantic annotation and checking of intelligent platforms, software and algorithms integrated into the simulation model framework

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