SHM-AI SOLUTION

Big Data ML Analytics

Cloud-Native Applications

The BI solution is a 4th-generation online-analytical-processing (OLAP)-based business intelligence (BI) solution that combines real-time cloud-native applications, visualization, and machine learning (ML) technologies for even non-experts to quickly and easily derive higher-level value from data.

Self data preparation
Predictive analytics
Auto data discovery
Non-standardized data access
Defining batch and streaming data-parallel processing
Distributed processing back-ends of large-sized data

Asset Management Damage Diagnostics

The asset management employs ML strategies, effectively combined with OLAP-based BI solution, for damage detection tasks to predict the structural damage on vehicles, plants, ships, civil and mechanical engineering infrastructures with the help of IOT technology. To enhance the accuracy of damage detection, Secure-AI's ML models are

employed for learning from prior experience. The supervised learning is used to detect the existence and location of the damage in the structure, and unsupervised learning used to measure and diagnose the severity of damage

Asset Monitoring

IOT Edges & AE sensors

The asset monitoring (AM) allows the owner or operator to ensure their safety and longevity, as critical assets like bridges, pipelines and equipment are constructed and age. Secure-AI's AM adapts IOT in ML-based structural-health-monitoring (SHM) technology with the help of in-situ IOT computing edges and deployed unique acoustic emission (AE) sensors.

Source location-determine the locations where event occurred
Material mechanical performance-evaluate and characterize materials/structures
Health monitoring-monitor the safe operation of a structure

BI SOLUTION

ABOUT

Welcome to Secure AI business solution for asset management.

We're dedicated to giving you the very best of AI business intelligence with the help of unique IOT sensor, with a focus on

offering asset owners the opportunity to extract value
mitigating financial and operational consequence of deterioration and routine manual supervision
offering the capability to predictably manage maintenance investment more effectively
minimizing downtime and avoiding, or costly repairs

Founded in 2019 by KimLee, Secure AI has come a long way from its beginnings in Advanced Structure Monitoring Inc, Palo Alto, USA. When Secure AI team first started out, our passion is helping asset owners creating values: safety and compliance, continuously structural monitoring, extended structural life, optimizing operations, continuous improvement, increase asset value, marketing technical advancement.

We hope you enjoy our BI solution as much as we enjoy offering them to you. If you have any questions or comments, please don't hesitate to contact us.

Sincerely,

이성수 (Seoung Soo KimLee), CEO

ABOUT

Object Recognition Surveillance System

Smart High Pressure Hydrogen Cylinders

Underground Pipeline Leakage Monitoring

High-Speed Train Vibration Analysis

APPLICATIONS

Instrumentation for Structural Health Monitoring & Asset Management

The feature dataset of asset conditions as well as the time stamps of failure and collapse events with sub micro-time precision are streamed to IoT platforms in the international standard time (UTC).

AE Testing for Condition Assessment of District Heating Pipelines

Signal Measurement for District Heating Pipelines by Measurement Location. Feature Pump Data by Measurement Location. Spectrum Peaks and Distribution Characteristics of Sensor Signals by Measurement Location.

Application of IoT FeaturePump in the Health Condition Assessment of Underground Long-Distance District Heating Pipelines (pdf)

IoT FeaturePump Description (pdf)

❏ Drastically reducing the expense of monitoring AI smart factory by adapting IoT SHM Feature Pumps

❏ Automating the field engineer's tasks of processing signals and evaluating the damage of critical components

❏ Streaming serialization-formatted features or machine learning dataset in real time to IoT cloud platforms

❏ Reflecting the various configuration options required to acquire features with micro-time event stamping

❏ Adapting the latest SoC technology, multi-core ARM processor and IoT communication technology