Al 기반 시뮬레이션 및 시험 분석 기능이 적용된
항공 체계 통합 시험 장비 (HILS, SIL)
곧,
리얼타임웨이브의 독자적인 RDSS와 TA 소프트웨어
Al 기반 플랫폼으로 새롭게 태어납니다.
[ 시험 데이터가 비지니스 자산이 되는 순간 ]
1
데이터 처리 속도 향상
AI 기반 플랫폼은 대용량 시험 데이터를 실시간 분석하여, 기존 수작업 대비 압도적으로 빠른 분석 속도.
반복적인 시험 케이스 및 시나리오 결과를 자동으로 비교·분류하여 엔지니어의 업무 부담이 획기적으로 감소.
2
Improved Accuracy
Al-driven anomaly detection algorithms precisely identify subtle issues that developers might overlook.
By learning from historical test data, the platform automatically detects and analyzes recurring failure patterns.
3
Predictive Insights
Machine learning models trained on test data enable proactive risk prediction and mitigation.
Before flight tests, simulations can be analyzed to anticipate outcomes and potential hazards, enhancing system safety.
The platform can also be used for predictive maintenance and fault prediction across various applications.
4
Knowledge Accumulation & Reusability
As more test data accumulates, the platform continues to learn, offering increasingly sophisticated and accurate analysis over time.
It allows even less experienced engineers to perform high-quality analysis by referencing and leveraging past test data.
5
Scenario-Based Test Automation & Evaluation ((Integrated with TA S/W)
The platform learns diverse test scenarios and automatically generates evaluation reports after execution.
It minimizes repetitive work by using Al to assess deviations from standards, risk levels, and performance indicators.
6
Standardization & Quality Enhancement
By maintaining consistent analysis criteria, the platform reduces analyst-to-analyst variance and ensures a minimum level of output quality.
It also provides reliable reports that support certification and regulatory reviews in the aerospace domain.
7
Decision Support for Testing
Test results are visualized for intuitive understanding, helping engineers make informed decisions.
In case of anomalies, the system can evolve into a full-fledged Decision Support System (DSS), offering both root cause insights ("Why?") and recommended actions ("How?").